Download Deep Learning A-Z 2025 Neural Networks, AI ChatGPT Jan 2025. Free Torrent from The RarBg

:Search:

XXX content

Latest 100 Movies Trending 10 in all category 4K Movies Remux 4K Movies 1080p Movies Remux 1080p Movies 720p Movies 480p Movies x265 Movies Remux x265 Movies x264 Movies Remux BluRay Movies BluRay Movies 60FPS Trending 100 Movies 4K ITA Movies ITA 1080p Movies ITA 720p Movies ITA 480p Movies EvilAngel XXX 26 05 02 XXX TonightsGirlfriend XXX blacked XXX TushyRaw XXX Vixen XXX Trending 100 XXX 4K XXX 1080p XXX 720p XXX 480p XXX x265 XXX x264 XXX WWE TV Show UFC TV Show 4K TV 1080p TV 720p TV 480p TV x265 TV x264 TV BluRay TV Trending 100 TV FLAC Quality Music 320kbps Music POP Music Trending 100 Music

Deep Learning A-Z 2025 Neural Networks, AI ChatGPT Jan 2025

Torrent:

Magnet Download .torrent File

Info Hash: F40D359139D1B8CD941ACE3CFDAE5F090612E963

Loading report information...

Similar Posts:

Name	Uploaded	Size	Se	Le	Upl. by
Deep Learning in Python Prerequisites Master Data Science and Machine…	2023-07-01	4.8 MB	10	0	spy1984
Deep Learning with PyTorch Lightning Swiftly build high performance A…	2023-07-01	36.7 MB	3	0	FreeCourseWeb
Deep Learning Systems by Andres Rodriguez EPUB	2023-07-01	7.2 MB	3	0	zakareya
Deep Learning Approaches to Cloud Security DevCourseWeb	2023-07-01	39.7 MB	15	7	FreeCourseWeb
Deep Learning A Comprehensive Guide DevCourseWeb	2023-07-01	141.7 MB	8	5	FreeCourseWeb
Deep Learning on Graphs True PDF DevCourseWeb	2023-07-01	28.8 MB	0	7	FreeCourseWeb
Deep Learning The MIT Press Essential Knowledge series by John D Kell…	2023-07-01	2.8 MB	10	0	FreeCourseWeb
Deep Learning with Python 2nd Edition BookRAR	2023-07-01	14.4 MB	37	2	bookrar
Deep Learning on Graphs BookRAR	2023-07-01	28.2 MB	1	0	bookrar
Deep Learning With Python By Francois Chollet	2023-07-01	10.9 MB	5	2	nico1899

Uploader:

shailab

Source:

The Pirate Bay

Description:

Deep Learning A-Z 2025: Neural Networks, AI & ChatGPT Prize​

Learn to create Deep Learning models in Python from two Machine Learning, Data Science experts. Code templates included.​


Updated Jan 2025

Part 1 - Artificial Neural Networks
Part 2 - Convolutional Neural Networks
Part 3 - Recurrent Neural Networks
Part 4 - Self Organizing Maps
Part 5 - Boltzmann Machines
Part 6 - Auto Encoders
Annex - Get the Machine Learning Basics

Enjoy

Category:

Books

Size:

4.6 GB

Added:

April 21, 2026, 11:38 p.m.

Peers:

Seeders: 12, Leechers: 32 (Last updated: 1 week, 3 days ago)

Files:

['07 - Building a CNN/007 Develop an Image Recognition System Using Convolutional Neural Networks.mp4'] 0 bytes
['Direct Download.txt'] 0 bytes
['01 - Welcome to the course!/001 Welcome Challenge!.html'] 0 bytes
['01 - Welcome to the course!/002 Introduction to Deep Learning From Historical Context to Modern Applications.mp4'] 0 bytes
['01 - Welcome to the course!/002 Introduction to Deep Learning From Historical Context to Modern Applications.srt'] 0 bytes
['01 - Welcome to the course!/003 Get the codes, datasets and slides here.html'] 0 bytes
['01 - Welcome to the course!/004 EXTRA Use ChatGPT to Boost your Deep Learning Skills.html'] 0 bytes
['01 - Welcome to the course!/Course updated jan 2025.txt'] 0 bytes
['01 - Welcome to the course!/Direct Download.txt'] 0 bytes
['02 - --------------------- Part 1 - Artificial Neural Networks ---------------------/001 Welcome to Part 1 - Artificial Neural Networks.html'] 0 bytes
["03 - ANN Intuition/001 What You'll Need for ANN.html"] 0 bytes
['03 - ANN Intuition/002 How Neural Networks Learn Gradient Descent and Backpropagation Explained.mp4'] 0 bytes
['03 - ANN Intuition/002 How Neural Networks Learn Gradient Descent and Backpropagation Explained.srt'] 0 bytes
['03 - ANN Intuition/003 Understanding Neurons The Building Blocks of Artificial Neural Networks.mp4'] 0 bytes
['03 - ANN Intuition/003 Understanding Neurons The Building Blocks of Artificial Neural Networks.srt'] 0 bytes
['03 - ANN Intuition/004 Understanding Activation Functions in Neural Networks Sigmoid, ReLU, and More.mp4'] 0 bytes
['03 - ANN Intuition/004 Understanding Activation Functions in Neural Networks Sigmoid, ReLU, and More.srt'] 0 bytes
['03 - ANN Intuition/005 How Do Neural Networks Work Step-by-Step Guide to Property Valuation Example.mp4'] 0 bytes
['03 - ANN Intuition/005 How Do Neural Networks Work Step-by-Step Guide to Property Valuation Example.srt'] 0 bytes
['03 - ANN Intuition/006 How Do Neural Networks Learn Understanding Backpropagation and Cost Functions.mp4'] 0 bytes
['03 - ANN Intuition/006 How Do Neural Networks Learn Understanding Backpropagation and Cost Functions.srt'] 0 bytes
['03 - ANN Intuition/007 Mastering Gradient Descent Key to Efficient Neural Network Training.mp4'] 0 bytes
['03 - ANN Intuition/007 Mastering Gradient Descent Key to Efficient Neural Network Training.srt'] 0 bytes
['03 - ANN Intuition/008 How to Use Stochastic Gradient Descent for Deep Learning Optimization.mp4'] 0 bytes
['03 - ANN Intuition/008 How to Use Stochastic Gradient Descent for Deep Learning Optimization.srt'] 0 bytes
['03 - ANN Intuition/009 Understanding Backpropagation Algorithm Key to Optimizing Deep Learning Models.mp4'] 0 bytes
['03 - ANN Intuition/009 Understanding Backpropagation Algorithm Key to Optimizing Deep Learning Models.srt'] 0 bytes
['04 - Building an ANN/001 Get the code and dataset ready.html'] 0 bytes
['04 - Building an ANN/002 Step 1 - Data Preprocessing for Deep Learning Preparing Neural Network Dataset.mp4'] 0 bytes
['04 - Building an ANN/002 Step 1 - Data Preprocessing for Deep Learning Preparing Neural Network Dataset.srt'] 0 bytes
['04 - Building an ANN/003 Check out our free course on ANN for Regression.html'] 0 bytes
['04 - Building an ANN/004 Step 2 - Data Preprocessing for Neural Networks Essential Steps and Techniques.mp4'] 0 bytes
['04 - Building an ANN/004 Step 2 - Data Preprocessing for Neural Networks Essential Steps and Techniques.srt'] 0 bytes
['04 - Building an ANN/005 Step 3 - Constructing an Artificial Neural Network Adding Input --& Hidden Layers.mp4'] 0 bytes
['04 - Building an ANN/005 Step 3 - Constructing an Artificial Neural Network Adding Input --& Hidden Layers.srt'] 0 bytes
['04 - Building an ANN/006 Step 4 - Compile and Train Neural Network Optimizers, Loss Functions --& Metrics.mp4'] 0 bytes
['04 - Building an ANN/006 Step 4 - Compile and Train Neural Network Optimizers, Loss Functions --& Metrics.srt'] 0 bytes
['04 - Building an ANN/007 Step 5 - How to Make Predictions and Evaluate Neural Network Model in Python.mp4'] 0 bytes
['04 - Building an ANN/007 Step 5 - How to Make Predictions and Evaluate Neural Network Model in Python.srt'] 0 bytes
['05 - -------------------- Part 2 - Convolutional Neural Networks --------------------/001 Welcome to Part 2 - Convolutional Neural Networks.html'] 0 bytes
["06 - CNN Intuition/001 What You'll Need for CNN.html"] 0 bytes
['06 - CNN Intuition/002 Understanding CNN Architecture From Convolution to Fully Connected Layers.mp4'] 0 bytes
['06 - CNN Intuition/002 Understanding CNN Architecture From Convolution to Fully Connected Layers.srt'] 0 bytes
['06 - CNN Intuition/003 How Do Convolutional Neural Networks Work Understanding CNN Architecture.mp4'] 0 bytes
['06 - CNN Intuition/003 How Do Convolutional Neural Networks Work Understanding CNN Architecture.srt'] 0 bytes
['06 - CNN Intuition/004 How to Apply Convolution Filters in Neural Networks Feature Detection Explained.mp4'] 0 bytes
['06 - CNN Intuition/004 How to Apply Convolution Filters in Neural Networks Feature Detection Explained.srt'] 0 bytes
['06 - CNN Intuition/005 Rectified Linear Units --(ReLU--) in Deep Learning Optimizing CNN Performance.mp4'] 0 bytes
['06 - CNN Intuition/005 Rectified Linear Units --(ReLU--) in Deep Learning Optimizing CNN Performance.srt'] 0 bytes
['06 - CNN Intuition/006 Understanding Spatial Invariance in CNNs Max Pooling Explained for Beginners.mp4'] 0 bytes
['06 - CNN Intuition/006 Understanding Spatial Invariance in CNNs Max Pooling Explained for Beginners.srt'] 0 bytes
['06 - CNN Intuition/007 How to Flatten Pooled Feature Maps in Convolutional Neural Networks --(CNNs--).mp4'] 0 bytes
['06 - CNN Intuition/007 How to Flatten Pooled Feature Maps in Convolutional Neural Networks --(CNNs--).srt'] 0 bytes
['06 - CNN Intuition/008 How Do Fully Connected Layers Work in Convolutional Neural Networks --(CNNs--).mp4'] 0 bytes
['06 - CNN Intuition/008 How Do Fully Connected Layers Work in Convolutional Neural Networks --(CNNs--).srt'] 0 bytes
['06 - CNN Intuition/009 CNN Building Blocks Feature Maps, ReLU, Pooling, and Fully Connected Layers.mp4'] 0 bytes
['06 - CNN Intuition/009 CNN Building Blocks Feature Maps, ReLU, Pooling, and Fully Connected Layers.srt'] 0 bytes
['06 - CNN Intuition/010 Understanding Softmax Activation and Cross-Entropy Loss in Deep Learning.mp4'] 0 bytes
['06 - CNN Intuition/010 Understanding Softmax Activation and Cross-Entropy Loss in Deep Learning.srt'] 0 bytes
['07 - Building a CNN/001 Get the code and dataset ready.html'] 0 bytes
['07 - Building a CNN/002 Step 1 - Convolutional Neural Networks Explained Image Classification Tutorial.mp4'] 0 bytes
['07 - Building a CNN/002 Step 1 - Convolutional Neural Networks Explained Image Classification Tutorial.srt'] 0 bytes
['07 - Building a CNN/003 Step 2 - Deep Learning Preprocessing Scaling --& Transforming Images for CNNs.mp4'] 0 bytes
['07 - Building a CNN/003 Step 2 - Deep Learning Preprocessing Scaling --& Transforming Images for CNNs.srt'] 0 bytes
['07 - Building a CNN/004 Step 3 - Building CNN Architecture Convolutional Layers --& Max Pooling Explained.mp4'] 0 bytes
['07 - Building a CNN/004 Step 3 - Building CNN Architecture Convolutional Layers --& Max Pooling Explained.srt'] 0 bytes
['07 - Building a CNN/005 Step 4 - Train CNN for Image Classification Optimize with Keras --& TensorFlow.mp4'] 0 bytes
['07 - Building a CNN/005 Step 4 - Train CNN for Image Classification Optimize with Keras --& TensorFlow.srt'] 0 bytes
['07 - Building a CNN/006 Step 5 - Deploying a CNN for Real-World Image Recognition.mp4'] 0 bytes
['07 - Building a CNN/006 Step 5 - Deploying a CNN for Real-World Image Recognition.srt'] 0 bytes
['Course updated jan 2025.txt'] 0 bytes
['07 - Building a CNN/007 Develop an Image Recognition System Using Convolutional Neural Networks.srt'] 0 bytes
['07 - Building a CNN/Course updated jan 2025.txt'] 0 bytes
['07 - Building a CNN/Direct Download.txt'] 0 bytes
['08 - ---------------------- Part 3 - Recurrent Neural Networks ----------------------/001 Welcome to Part 3 - Recurrent Neural Networks.html'] 0 bytes
["09 - RNN Intuition/001 What You'll Need for RNN.html"] 0 bytes
['09 - RNN Intuition/002 How Do Recurrent Neural Networks --(RNNs--) Work Deep Learning Explained.mp4'] 0 bytes
['09 - RNN Intuition/002 How Do Recurrent Neural Networks --(RNNs--) Work Deep Learning Explained.srt'] 0 bytes
['09 - RNN Intuition/003 What is a Recurrent Neural Network --(RNN--) Deep Learning for Sequential Data.mp4'] 0 bytes
['09 - RNN Intuition/003 What is a Recurrent Neural Network --(RNN--) Deep Learning for Sequential Data.srt'] 0 bytes
['09 - RNN Intuition/004 Understanding the Vanishing Gradient Problem in Recurrent Neural Networks --(RNNs--).mp4'] 0 bytes
['09 - RNN Intuition/004 Understanding the Vanishing Gradient Problem in Recurrent Neural Networks --(RNNs--).srt'] 0 bytes
['09 - RNN Intuition/005 Understanding Long Short-Term Memory --(LSTM--) Architecture for Deep Learning.mp4'] 0 bytes
['09 - RNN Intuition/005 Understanding Long Short-Term Memory --(LSTM--) Architecture for Deep Learning.srt'] 0 bytes
['09 - RNN Intuition/006 How LSTMs Work in Practice Visualizing Neural Network Predictions.mp4'] 0 bytes
['09 - RNN Intuition/006 How LSTMs Work in Practice Visualizing Neural Network Predictions.srt'] 0 bytes
['09 - RNN Intuition/007 LSTM Variations Peepholes, Combined Gates, and GRUs in Deep Learning.mp4'] 0 bytes
['09 - RNN Intuition/007 LSTM Variations Peepholes, Combined Gates, and GRUs in Deep Learning.srt'] 0 bytes
['10 - Building a RNN/001 Get the code and dataset ready.html'] 0 bytes
['10 - Building a RNN/002 Step 1 - Building a Robust LSTM Neural Network for Stock Price Trend Prediction.mp4'] 0 bytes
['10 - Building a RNN/002 Step 1 - Building a Robust LSTM Neural Network for Stock Price Trend Prediction.srt'] 0 bytes
['10 - Building a RNN/003 Step 2 - Importing Training Data for LSTM Stock Price Prediction Model.mp4'] 0 bytes
['10 - Building a RNN/003 Step 2 - Importing Training Data for LSTM Stock Price Prediction Model.srt'] 0 bytes
['10 - Building a RNN/004 Step 3 - Applying Min-Max Normalization for Time Series Data in Neural Networks.mp4'] 0 bytes
['10 - Building a RNN/004 Step 3 - Applying Min-Max Normalization for Time Series Data in Neural Networks.srt'] 0 bytes
['10 - Building a RNN/005 Step 4 - Building X_train and y_train Arrays for LSTM Time Series Forecasting.mp4'] 0 bytes
['10 - Building a RNN/005 Step 4 - Building X_train and y_train Arrays for LSTM Time Series Forecasting.srt'] 0 bytes
['10 - Building a RNN/006 Step 5 - Preparing Time Series Data for LSTM Neural Network in Stock Forecasting.mp4'] 0 bytes
['10 - Building a RNN/006 Step 5 - Preparing Time Series Data for LSTM Neural Network in Stock Forecasting.srt'] 0 bytes
['10 - Building a RNN/007 Step 6 - Create RNN Architecture Sequential Layers vs Computational Graphs.mp4'] 0 bytes
['10 - Building a RNN/007 Step 6 - Create RNN Architecture Sequential Layers vs Computational Graphs.srt'] 0 bytes
['10 - Building a RNN/008 Step 7 - Adding First LSTM Layer Key Components for Stock Market Prediction.mp4'] 0 bytes
['10 - Building a RNN/008 Step 7 - Adding First LSTM Layer Key Components for Stock Market Prediction.srt'] 0 bytes
['10 - Building a RNN/009 Step 8 - Implementing Dropout Regularization in LSTM Networks for Forecasting.mp4'] 0 bytes
['10 - Building a RNN/009 Step 8 - Implementing Dropout Regularization in LSTM Networks for Forecasting.srt'] 0 bytes
['10 - Building a RNN/010 Step 9 - Finalizing RNN Architecture Dense Layer for Stock Price Forecasting.mp4'] 0 bytes
['10 - Building a RNN/010 Step 9 - Finalizing RNN Architecture Dense Layer for Stock Price Forecasting.srt'] 0 bytes
['10 - Building a RNN/011 Step 10 - Compile RNN with Adam Optimizer for Stock Price Prediction in Python.mp4'] 0 bytes
['10 - Building a RNN/011 Step 10 - Compile RNN with Adam Optimizer for Stock Price Prediction in Python.srt'] 0 bytes
['10 - Building a RNN/012 Step 11 - Optimizing Epochs and Batch Size for LSTM Stock Price Forecasting.mp4'] 0 bytes
['10 - Building a RNN/012 Step 11 - Optimizing Epochs and Batch Size for LSTM Stock Price Forecasting.srt'] 0 bytes
['10 - Building a RNN/013 Step 12 - Visualizing LSTM Predictions Real vs Forecasted Google Stock Prices.mp4'] 0 bytes
['10 - Building a RNN/013 Step 12 - Visualizing LSTM Predictions Real vs Forecasted Google Stock Prices.srt'] 0 bytes
['10 - Building a RNN/014 Step 13 - Preparing Historical Stock Data for LSTM Model Scaling and Reshaping.mp4'] 0 bytes
['10 - Building a RNN/014 Step 13 - Preparing Historical Stock Data for LSTM Model Scaling and Reshaping.srt'] 0 bytes
['10 - Building a RNN/015 Step 14 - Creating 3D Input Structure for LSTM Stock Price Prediction in Python.mp4'] 0 bytes
['10 - Building a RNN/015 Step 14 - Creating 3D Input Structure for LSTM Stock Price Prediction in Python.srt'] 0 bytes
['10 - Building a RNN/016 Step 15 - Visualizing LSTM Predictions Plotting Real vs Predicted Stock Prices.mp4'] 0 bytes
['10 - Building a RNN/016 Step 15 - Visualizing LSTM Predictions Plotting Real vs Predicted Stock Prices.srt'] 0 bytes
['11 - Evaluating and Improving the RNN/001 Evaluating the RNN.html'] 0 bytes
['11 - Evaluating and Improving the RNN/002 Improving the RNN.html'] 0 bytes
['12 - ------------------------ Part 4 - Self Organizing Maps ------------------------/001 Welcome to Part 4 - Self Organizing Maps.html'] 0 bytes
['13 - SOMs Intuition/001 How Do Self-Organizing Maps Work Understanding SOM in Deep Learning.mp4'] 0 bytes
['13 - SOMs Intuition/001 How Do Self-Organizing Maps Work Understanding SOM in Deep Learning.srt'] 0 bytes
['13 - SOMs Intuition/002 Self-Organizing Maps --(SOM--) Unsupervised Deep Learning for Dimensionality Reduct.mp4'] 0 bytes
['13 - SOMs Intuition/002 Self-Organizing Maps --(SOM--) Unsupervised Deep Learning for Dimensionality Reduct.srt'] 0 bytes
['13 - SOMs Intuition/003 Why K-Means Clustering is Essential for Understanding Self-Organizing Maps.mp4'] 0 bytes
['13 - SOMs Intuition/003 Why K-Means Clustering is Essential for Understanding Self-Organizing Maps.srt'] 0 bytes
['13 - SOMs Intuition/004 Self-Organizing Maps Tutorial Dimensionality Reduction in Machine Learning.mp4'] 0 bytes
['13 - SOMs Intuition/004 Self-Organizing Maps Tutorial Dimensionality Reduction in Machine Learning.srt'] 0 bytes
['13 - SOMs Intuition/005 How Self-Organizing Maps --(SOMs--) Learn Unsupervised Deep Learning Explained.mp4'] 0 bytes
['13 - SOMs Intuition/005 How Self-Organizing Maps --(SOMs--) Learn Unsupervised Deep Learning Explained.srt'] 0 bytes
['13 - SOMs Intuition/006 How to Create a Self-Organizing Map --(SOM--) in DL Step-by-Step Tutorial.mp4'] 0 bytes
['13 - SOMs Intuition/006 How to Create a Self-Organizing Map --(SOM--) in DL Step-by-Step Tutorial.srt'] 0 bytes
['13 - SOMs Intuition/007 Interpreting SOM Clusters Unsupervised Learning Techniques for Data Analysis.mp4'] 0 bytes
['13 - SOMs Intuition/007 Interpreting SOM Clusters Unsupervised Learning Techniques for Data Analysis.srt'] 0 bytes
['13 - SOMs Intuition/008 Understanding K-Means Clustering Intuitive Explanation with Visual Examples.mp4'] 0 bytes
['13 - SOMs Intuition/008 Understanding K-Means Clustering Intuitive Explanation with Visual Examples.srt'] 0 bytes
['13 - SOMs Intuition/009 K-Means Clustering Avoiding the Random Initialization Trap in Machine Learning.mp4'] 0 bytes
['13 - SOMs Intuition/009 K-Means Clustering Avoiding the Random Initialization Trap in Machine Learning.srt'] 0 bytes
['13 - SOMs Intuition/010 How to Find the Optimal Number of Clusters in K-Means WCSS and Elbow Method.mp4'] 0 bytes
['13 - SOMs Intuition/010 How to Find the Optimal Number of Clusters in K-Means WCSS and Elbow Method.srt'] 0 bytes
['14 - Building a SOM/001 Get the code and dataset ready.html'] 0 bytes
['14 - Building a SOM/002 Step 1 - Implementing Self-Organizing Maps --(SOMs--) for Fraud Detection in Python.mp4'] 0 bytes
['14 - Building a SOM/002 Step 1 - Implementing Self-Organizing Maps --(SOMs--) for Fraud Detection in Python.srt'] 0 bytes
['14 - Building a SOM/003 Step 2 - SOM Weight Initialization and Training Tutorial for Anomaly Detection.mp4'] 0 bytes
['14 - Building a SOM/003 Step 2 - SOM Weight Initialization and Training Tutorial for Anomaly Detection.srt'] 0 bytes
['14 - Building a SOM/004 Step 3 - SOM Visualization Techniques Colorbar --& Markers for Outlier Detection.mp4'] 0 bytes
['14 - Building a SOM/004 Step 3 - SOM Visualization Techniques Colorbar --& Markers for Outlier Detection.srt'] 0 bytes
['14 - Building a SOM/005 Step 4 - Catching Cheaters with SOMs Mapping Winning Nodes to Customer Data.mp4'] 0 bytes
['14 - Building a SOM/005 Step 4 - Catching Cheaters with SOMs Mapping Winning Nodes to Customer Data.srt'] 0 bytes
['14 - Building a SOM/Course updated jan 2025.txt'] 0 bytes
['14 - Building a SOM/Direct Download.txt'] 0 bytes
['15 - Mega Case Study/001 Get the code and dataset ready.html'] 0 bytes
['15 - Mega Case Study/002 Step 1 - Building a Hybrid Deep Learning Model for Credit Card Fraud Detection.mp4'] 0 bytes
['15 - Mega Case Study/002 Step 1 - Building a Hybrid Deep Learning Model for Credit Card Fraud Detection.srt'] 0 bytes
['15 - Mega Case Study/003 Step 2 - Developing a Fraud Detection System Using Self-Organizing Maps.mp4'] 0 bytes
['15 - Mega Case Study/003 Step 2 - Developing a Fraud Detection System Using Self-Organizing Maps.srt'] 0 bytes
['15 - Mega Case Study/004 Step 3 - Building a Hybrid Model From Unsupervised to Supervised Deep Learning.mp4'] 0 bytes
['15 - Mega Case Study/004 Step 3 - Building a Hybrid Model From Unsupervised to Supervised Deep Learning.srt'] 0 bytes
['15 - Mega Case Study/005 Step 4 - Implementing Fraud Detection with SOM A Deep Learning Approach.mp4'] 0 bytes
['15 - Mega Case Study/005 Step 4 - Implementing Fraud Detection with SOM A Deep Learning Approach.srt'] 0 bytes
['16 - ------------------------- Part 5 - Boltzmann Machines -------------------------/001 Welcome to Part 5 - Boltzmann Machines.html'] 0 bytes
['17 - Boltzmann Machine Intuition/001 Understanding Boltzmann Machines Deep Learning Fundamentals for AI Enthusiasts.mp4'] 0 bytes
['17 - Boltzmann Machine Intuition/001 Understanding Boltzmann Machines Deep Learning Fundamentals for AI Enthusiasts.srt'] 0 bytes
['17 - Boltzmann Machine Intuition/002 Boltzmann Machines vs. Neural Networks Key Differences in Deep Learning.mp4'] 0 bytes
['17 - Boltzmann Machine Intuition/002 Boltzmann Machines vs. Neural Networks Key Differences in Deep Learning.srt'] 0 bytes
['17 - Boltzmann Machine Intuition/003 Deep Learning Fundamentals Energy-Based Models --& Their Role in Neural Networks.mp4'] 0 bytes
['17 - Boltzmann Machine Intuition/003 Deep Learning Fundamentals Energy-Based Models --& Their Role in Neural Networks.srt'] 0 bytes
['17 - Boltzmann Machine Intuition/004 How to Edit Wikipedia Adding Boltzmann Distribution in Deep Learning.mp4'] 0 bytes
['17 - Boltzmann Machine Intuition/004 How to Edit Wikipedia Adding Boltzmann Distribution in Deep Learning.srt'] 0 bytes
['17 - Boltzmann Machine Intuition/005 How Restricted Boltzmann Machines Work Deep Learning for Recommender Systems.mp4'] 0 bytes
['17 - Boltzmann Machine Intuition/005 How Restricted Boltzmann Machines Work Deep Learning for Recommender Systems.srt'] 0 bytes
['17 - Boltzmann Machine Intuition/006 How Energy-Based Models Work Deep Dive into Contrastive Divergence Algorithm.mp4'] 0 bytes
['17 - Boltzmann Machine Intuition/006 How Energy-Based Models Work Deep Dive into Contrastive Divergence Algorithm.srt'] 0 bytes
['17 - Boltzmann Machine Intuition/007 Deep Belief Networks Understanding RBM Stacking in Deep Learning Models.mp4'] 0 bytes
['17 - Boltzmann Machine Intuition/007 Deep Belief Networks Understanding RBM Stacking in Deep Learning Models.srt'] 0 bytes
['17 - Boltzmann Machine Intuition/008 Deep Boltzmann Machines vs Deep Belief Networks Key Differences Explained.mp4'] 0 bytes
['17 - Boltzmann Machine Intuition/008 Deep Boltzmann Machines vs Deep Belief Networks Key Differences Explained.srt'] 0 bytes
['17 - Boltzmann Machine Intuition/Course updated jan 2025.txt'] 0 bytes
['17 - Boltzmann Machine Intuition/Direct Download.txt'] 0 bytes
['18 - Building a Boltzmann Machine/001 Get the code and dataset ready.html'] 0 bytes
['18 - Building a Boltzmann Machine/002 Step 0 - Building a Movie Recommender System with RBMs Data Preprocessing Guide.mp4'] 0 bytes
['18 - Building a Boltzmann Machine/002 Step 0 - Building a Movie Recommender System with RBMs Data Preprocessing Guide.srt'] 0 bytes
['18 - Building a Boltzmann Machine/003 Same Data Preprocessing in Parts 5 and 6.html'] 0 bytes
['18 - Building a Boltzmann Machine/004 Step 1 - Importing Movie Datasets for RBM-Based Recommender Systems in Python.mp4'] 0 bytes
['18 - Building a Boltzmann Machine/004 Step 1 - Importing Movie Datasets for RBM-Based Recommender Systems in Python.srt'] 0 bytes
['18 - Building a Boltzmann Machine/005 Step 2 - Preparing Training and Test Sets for Restricted Boltzmann Machine.mp4'] 0 bytes
['18 - Building a Boltzmann Machine/005 Step 2 - Preparing Training and Test Sets for Restricted Boltzmann Machine.srt'] 0 bytes
['18 - Building a Boltzmann Machine/006 Step 3 - Preparing Data for RBM Calculating Total Users and Movies in Python.mp4'] 0 bytes
['18 - Building a Boltzmann Machine/006 Step 3 - Preparing Data for RBM Calculating Total Users and Movies in Python.srt'] 0 bytes
['18 - Building a Boltzmann Machine/007 Step 4 - Convert Training --& Test Sets to RBM-Ready Arrays in Python.mp4'] 0 bytes
['18 - Building a Boltzmann Machine/007 Step 4 - Convert Training --& Test Sets to RBM-Ready Arrays in Python.srt'] 0 bytes
['18 - Building a Boltzmann Machine/008 Step 5 - Converting NumPy Arrays to PyTorch Tensors for Deep Learning Models.mp4'] 0 bytes
['18 - Building a Boltzmann Machine/008 Step 5 - Converting NumPy Arrays to PyTorch Tensors for Deep Learning Models.srt'] 0 bytes
['18 - Building a Boltzmann Machine/009 Step 6 - RBM Data Preprocessing Transforming Movie Ratings for Neural Networks.mp4'] 0 bytes
['18 - Building a Boltzmann Machine/009 Step 6 - RBM Data Preprocessing Transforming Movie Ratings for Neural Networks.srt'] 0 bytes
['18 - Building a Boltzmann Machine/010 Step 7 - Implementing Restricted Boltzmann Machine Class Structure in PyTorch.mp4'] 0 bytes
['18 - Building a Boltzmann Machine/010 Step 7 - Implementing Restricted Boltzmann Machine Class Structure in PyTorch.srt'] 0 bytes
['18 - Building a Boltzmann Machine/011 Step 8 - RBM Hidden Layer Sampling Bernoulli Distribution in PyTorch Tutorial.mp4'] 0 bytes
['18 - Building a Boltzmann Machine/011 Step 8 - RBM Hidden Layer Sampling Bernoulli Distribution in PyTorch Tutorial.srt'] 0 bytes
['18 - Building a Boltzmann Machine/012 Step 9 - RBM Visible Node Sampling Bernoulli Distribution in Deep Learning.mp4'] 0 bytes
['18 - Building a Boltzmann Machine/012 Step 9 - RBM Visible Node Sampling Bernoulli Distribution in Deep Learning.srt'] 0 bytes
['18 - Building a Boltzmann Machine/013 Step 10 - RBM Training Function Updating Weights and Biases with Gibbs Sampling.mp4'] 0 bytes
['18 - Building a Boltzmann Machine/013 Step 10 - RBM Training Function Updating Weights and Biases with Gibbs Sampling.srt'] 0 bytes
['18 - Building a Boltzmann Machine/014 Step 11 - How to Set Up an RBM Model Choosing NV, NH, and Batch Size Parameters.mp4'] 0 bytes
['18 - Building a Boltzmann Machine/014 Step 11 - How to Set Up an RBM Model Choosing NV, NH, and Batch Size Parameters.srt'] 0 bytes
['18 - Building a Boltzmann Machine/015 Step 12 - RBM Training Loop Epoch Setup and Loss Function Implementation.mp4'] 0 bytes
['18 - Building a Boltzmann Machine/015 Step 12 - RBM Training Loop Epoch Setup and Loss Function Implementation.srt'] 0 bytes
['18 - Building a Boltzmann Machine/016 Step 13 - RBM Training Updating Weights and Biases with Contrastive Divergence.mp4'] 0 bytes
['18 - Building a Boltzmann Machine/016 Step 13 - RBM Training Updating Weights and Biases with Contrastive Divergence.srt'] 0 bytes
['18 - Building a Boltzmann Machine/017 Step 14 - Optimizing RBM Models From Training to Test Set Performance Analysis.mp4'] 0 bytes
['18 - Building a Boltzmann Machine/017 Step 14 - Optimizing RBM Models From Training to Test Set Performance Analysis.srt'] 0 bytes
['18 - Building a Boltzmann Machine/018 Evaluating the Boltzmann Machine.html'] 0 bytes
['19 - ---------------------------- Part 6 - AutoEncoders ----------------------------/001 Welcome to Part 6 - AutoEncoders.html'] 0 bytes
['19 - ---------------------------- Part 6 - AutoEncoders ----------------------------/Course updated jan 2025.txt'] 0 bytes
['19 - ---------------------------- Part 6 - AutoEncoders ----------------------------/Direct Download.txt'] 0 bytes
['20 - AutoEncoders Intuition/001 Deep Learning Autoencoders Types, Architecture, and Training Explained.mp4'] 0 bytes
['20 - AutoEncoders Intuition/001 Deep Learning Autoencoders Types, Architecture, and Training Explained.srt'] 0 bytes
['20 - AutoEncoders Intuition/002 Autoencoders in Machine Learning Applications and Architecture Overview.mp4'] 0 bytes
['20 - AutoEncoders Intuition/002 Autoencoders in Machine Learning Applications and Architecture Overview.srt'] 0 bytes
['20 - AutoEncoders Intuition/003 Autoencoder Bias in Deep Learning Improving Neural Network Performance.mp4'] 0 bytes
['20 - AutoEncoders Intuition/003 Autoencoder Bias in Deep Learning Improving Neural Network Performance.srt'] 0 bytes
['20 - AutoEncoders Intuition/004 How to Train an Autoencoder Step-by-Step Guide for Deep Learning Beginners.mp4'] 0 bytes
['20 - AutoEncoders Intuition/004 How to Train an Autoencoder Step-by-Step Guide for Deep Learning Beginners.srt'] 0 bytes
['20 - AutoEncoders Intuition/005 How to Use Overcomplete Hidden Layers in Autoencoders for Feature Extraction.mp4'] 0 bytes
['20 - AutoEncoders Intuition/005 How to Use Overcomplete Hidden Layers in Autoencoders for Feature Extraction.srt'] 0 bytes
['20 - AutoEncoders Intuition/006 Sparse Autoencoders in Deep Learning Preventing Overfitting in Neural Networks.mp4'] 0 bytes
['20 - AutoEncoders Intuition/006 Sparse Autoencoders in Deep Learning Preventing Overfitting in Neural Networks.srt'] 0 bytes
['20 - AutoEncoders Intuition/007 Denoising Autoencoders Deep Learning Regularization Technique Explained.mp4'] 0 bytes
['20 - AutoEncoders Intuition/007 Denoising Autoencoders Deep Learning Regularization Technique Explained.srt'] 0 bytes
['20 - AutoEncoders Intuition/008 What are Contractive Autoencoders Deep Learning Regularization Techniques.mp4'] 0 bytes
['20 - AutoEncoders Intuition/008 What are Contractive Autoencoders Deep Learning Regularization Techniques.srt'] 0 bytes
['20 - AutoEncoders Intuition/009 What are Stacked Autoencoders in Deep Learning Architecture and Applications.mp4'] 0 bytes
['20 - AutoEncoders Intuition/009 What are Stacked Autoencoders in Deep Learning Architecture and Applications.srt'] 0 bytes
['20 - AutoEncoders Intuition/010 Deep Autoencoders vs Stacked Autoencoders Key Differences in Neural Networks.mp4'] 0 bytes
['20 - AutoEncoders Intuition/010 Deep Autoencoders vs Stacked Autoencoders Key Differences in Neural Networks.srt'] 0 bytes
['21 - Building an AutoEncoder/001 Get the code and dataset ready.html'] 0 bytes
['21 - Building an AutoEncoder/002 Same Data Preprocessing in Parts 5 and 6.html'] 0 bytes
['21 - Building an AutoEncoder/003 Step 1 - Building a Movie Recommendation System with AutoEncoders Data Import.mp4'] 0 bytes
['21 - Building an AutoEncoder/003 Step 1 - Building a Movie Recommendation System with AutoEncoders Data Import.srt'] 0 bytes
['21 - Building an AutoEncoder/004 Step 2 - Preparing Training and Test Sets for Autoencoder Recommendation System.mp4'] 0 bytes
['21 - Building an AutoEncoder/004 Step 2 - Preparing Training and Test Sets for Autoencoder Recommendation System.srt'] 0 bytes
['21 - Building an AutoEncoder/005 Step 3 - Preparing Data for Recommendation Systems User --& Movie Count in Python.mp4'] 0 bytes
['21 - Building an AutoEncoder/005 Step 3 - Preparing Data for Recommendation Systems User --& Movie Count in Python.srt'] 0 bytes
['21 - Building an AutoEncoder/006 Homework Challenge - Coding Exercise.html'] 0 bytes
['21 - Building an AutoEncoder/007 Step 4 - Prepare Data for Autoencoder Creating User-Movie Rating Matrices.mp4'] 0 bytes
['21 - Building an AutoEncoder/007 Step 4 - Prepare Data for Autoencoder Creating User-Movie Rating Matrices.srt'] 0 bytes
['21 - Building an AutoEncoder/008 Step 5 - Convert Training and Test Sets to PyTorch Tensors for Deep Learning.mp4'] 0 bytes
['21 - Building an AutoEncoder/008 Step 5 - Convert Training and Test Sets to PyTorch Tensors for Deep Learning.srt'] 0 bytes
['21 - Building an AutoEncoder/009 Step 6 - Building Autoencoder Architecture Class Creation for Neural Networks.mp4'] 0 bytes
['21 - Building an AutoEncoder/009 Step 6 - Building Autoencoder Architecture Class Creation for Neural Networks.srt'] 0 bytes
['21 - Building an AutoEncoder/010 Step 7 - Python Autoencoder Tutorial Implementing Activation Functions --& Layers.mp4'] 0 bytes
['21 - Building an AutoEncoder/010 Step 7 - Python Autoencoder Tutorial Implementing Activation Functions --& Layers.srt'] 0 bytes
['21 - Building an AutoEncoder/011 Step 8 - PyTorch Techniques for Efficient Autoencoder Training on Large Datasets.mp4'] 0 bytes
['21 - Building an AutoEncoder/011 Step 8 - PyTorch Techniques for Efficient Autoencoder Training on Large Datasets.srt'] 0 bytes
['21 - Building an AutoEncoder/012 Step 9 - Implementing Stochastic Gradient Descent in Autoencoder Architecture.mp4'] 0 bytes
['21 - Building an AutoEncoder/012 Step 9 - Implementing Stochastic Gradient Descent in Autoencoder Architecture.srt'] 0 bytes
['21 - Building an AutoEncoder/013 Step 10 - Machine Learning Metrics Interpreting Loss in Autoencoder Training.mp4'] 0 bytes
['21 - Building an AutoEncoder/013 Step 10 - Machine Learning Metrics Interpreting Loss in Autoencoder Training.srt'] 0 bytes
['21 - Building an AutoEncoder/014 Step 11 - How to Evaluate Recommender System Performance Using Test Set Loss.mp4'] 0 bytes
['21 - Building an AutoEncoder/014 Step 11 - How to Evaluate Recommender System Performance Using Test Set Loss.srt'] 0 bytes
['21 - Building an AutoEncoder/015 THANK YOU Video.mp4'] 0 bytes
['21 - Building an AutoEncoder/015 THANK YOU Video.srt'] 0 bytes
['22 - ------------------- Annex - Get the Machine Learning Basics -------------------/001 Annex - Get the Machine Learning Basics.html'] 0 bytes
['23 - Regression & Classification Intuition/001 What You Need for Regression & Classification.html'] 0 bytes
['23 - Regression & Classification Intuition/002 Simple Linear Regression Understanding Y = B0 + B1X in Machine Learning.mp4'] 0 bytes
['23 - Regression & Classification Intuition/002 Simple Linear Regression Understanding Y = B0 + B1X in Machine Learning.srt'] 0 bytes
['23 - Regression & Classification Intuition/003 Linear Regression Explained Finding the Best Fitting Line for Data Analysis.mp4'] 0 bytes
['23 - Regression & Classification Intuition/003 Linear Regression Explained Finding the Best Fitting Line for Data Analysis.srt'] 0 bytes
['23 - Regression & Classification Intuition/004 Multiple Linear Regression - Understanding Dependent --& Independent Variables.mp4'] 0 bytes
['23 - Regression & Classification Intuition/004 Multiple Linear Regression - Understanding Dependent --& Independent Variables.srt'] 0 bytes
['23 - Regression & Classification Intuition/005 Understanding Logistic Regression Intuition and Probability in Classification.mp4'] 0 bytes
['23 - Regression & Classification Intuition/005 Understanding Logistic Regression Intuition and Probability in Classification.srt'] 0 bytes
['24 - Data Preprocessing/001 Data Preprocessing.html'] 0 bytes
['24 - Data Preprocessing/002 How to Scale Features in Machine Learning Normalization vs Standardization.mp4'] 0 bytes
['24 - Data Preprocessing/002 How to Scale Features in Machine Learning Normalization vs Standardization.srt'] 0 bytes
['24 - Data Preprocessing/003 Machine Learning Basics Using Train-Test Split to Evaluate Model Performance.mp4'] 0 bytes
['24 - Data Preprocessing/003 Machine Learning Basics Using Train-Test Split to Evaluate Model Performance.srt'] 0 bytes
['24 - Data Preprocessing/004 Machine Learning Workflow Data Splitting, Feature Scaling, and Model Training.mp4'] 0 bytes
['24 - Data Preprocessing/004 Machine Learning Workflow Data Splitting, Feature Scaling, and Model Training.srt'] 0 bytes
['25 - Data Preprocessing in Python/001 Step 1 - Data Preprocessing in Python Essential Tools for ML Models.mp4'] 0 bytes
['25 - Data Preprocessing in Python/001 Step 1 - Data Preprocessing in Python Essential Tools for ML Models.srt'] 0 bytes
['25 - Data Preprocessing in Python/002 Step 2 - How to Handle Missing Data in Python Data Preprocessing Techniques.mp4'] 0 bytes
['25 - Data Preprocessing in Python/002 Step 2 - How to Handle Missing Data in Python Data Preprocessing Techniques.srt'] 0 bytes
['25 - Data Preprocessing in Python/003 Step 1 - Importing Essential Python Libraries for Data Preprocessing --& Analysis.mp4'] 0 bytes
['25 - Data Preprocessing in Python/003 Step 1 - Importing Essential Python Libraries for Data Preprocessing --& Analysis.srt'] 0 bytes
['25 - Data Preprocessing in Python/004 Step 1 - Creating a DataFrame from CSV Python Data Preprocessing Basics.mp4'] 0 bytes
['25 - Data Preprocessing in Python/004 Step 1 - Creating a DataFrame from CSV Python Data Preprocessing Basics.srt'] 0 bytes
['25 - Data Preprocessing in Python/005 Step 2 - Pandas DataFrame Indexing Building Feature Matrix X with iloc Method.mp4'] 0 bytes
['25 - Data Preprocessing in Python/005 Step 2 - Pandas DataFrame Indexing Building Feature Matrix X with iloc Method.srt'] 0 bytes
['25 - Data Preprocessing in Python/006 Step 3 - Preprocessing Data Extracting Features and Target Variables in Python.mp4'] 0 bytes
['25 - Data Preprocessing in Python/006 Step 3 - Preprocessing Data Extracting Features and Target Variables in Python.srt'] 0 bytes
['25 - Data Preprocessing in Python/007 For Python learners, summary of Object-oriented programming classes & objects.html'] 0 bytes
['25 - Data Preprocessing in Python/008 Step 1 - Handling Missing Data in Python SimpleImputer for Data Preprocessing.mp4'] 0 bytes
['25 - Data Preprocessing in Python/008 Step 1 - Handling Missing Data in Python SimpleImputer for Data Preprocessing.srt'] 0 bytes
['25 - Data Preprocessing in Python/009 Step 2 - Preprocessing Datasets Fit and Transform to Handle Missing Values.mp4'] 0 bytes
['25 - Data Preprocessing in Python/009 Step 2 - Preprocessing Datasets Fit and Transform to Handle Missing Values.srt'] 0 bytes
['25 - Data Preprocessing in Python/010 Step 1 - Preprocessing Categorical Variables One-Hot Encoding in Python.mp4'] 0 bytes
['25 - Data Preprocessing in Python/010 Step 1 - Preprocessing Categorical Variables One-Hot Encoding in Python.srt'] 0 bytes
['25 - Data Preprocessing in Python/011 Step 2 - Using fit_transform Method for Efficient Data Preprocessing in Python.mp4'] 0 bytes
['25 - Data Preprocessing in Python/011 Step 2 - Using fit_transform Method for Efficient Data Preprocessing in Python.srt'] 0 bytes
['25 - Data Preprocessing in Python/012 Step 3 - Preprocessing Categorical Data One-Hot and Label Encoding Techniques.mp4'] 0 bytes
['25 - Data Preprocessing in Python/012 Step 3 - Preprocessing Categorical Data One-Hot and Label Encoding Techniques.srt'] 0 bytes
['25 - Data Preprocessing in Python/013 Step 1 - Machine Learning Data Prep Splitting Dataset Before Feature Scaling.mp4'] 0 bytes
['25 - Data Preprocessing in Python/013 Step 1 - Machine Learning Data Prep Splitting Dataset Before Feature Scaling.srt'] 0 bytes
["25 - Data Preprocessing in Python/014 Step 2 - Split Data into Train --& Test Sets with Scikit-learn--'s train_test_split.mp4"] 0 bytes
["25 - Data Preprocessing in Python/014 Step 2 - Split Data into Train --& Test Sets with Scikit-learn--'s train_test_split.srt"] 0 bytes
['25 - Data Preprocessing in Python/015 Step 3 - Preparing Data for ML Splitting Datasets with Python and Scikit-learn.mp4'] 0 bytes
['25 - Data Preprocessing in Python/015 Step 3 - Preparing Data for ML Splitting Datasets with Python and Scikit-learn.srt'] 0 bytes
['25 - Data Preprocessing in Python/016 Step 1 - How to Apply Feature Scaling for Preprocessing Machine Learning Data.mp4'] 0 bytes
['25 - Data Preprocessing in Python/016 Step 1 - How to Apply Feature Scaling for Preprocessing Machine Learning Data.srt'] 0 bytes
['25 - Data Preprocessing in Python/017 Step 2 - Feature Scaling in Machine Learning When to Apply StandardScaler.mp4'] 0 bytes
['25 - Data Preprocessing in Python/017 Step 2 - Feature Scaling in Machine Learning When to Apply StandardScaler.srt'] 0 bytes
['25 - Data Preprocessing in Python/018 Step 3 - Normalizing Data with Fit and Transform Methods in Scikit-learn.mp4'] 0 bytes
['25 - Data Preprocessing in Python/018 Step 3 - Normalizing Data with Fit and Transform Methods in Scikit-learn.srt'] 0 bytes
['25 - Data Preprocessing in Python/019 Step 4 - How to Apply Feature Scaling to Training --& Test Sets in ML.mp4'] 0 bytes
['25 - Data Preprocessing in Python/019 Step 4 - How to Apply Feature Scaling to Training --& Test Sets in ML.srt'] 0 bytes
['26 - Logistic Regression/001 Understanding the Logistic Regression Equation A Step-by-Step Guide.mp4'] 0 bytes
['26 - Logistic Regression/001 Understanding the Logistic Regression Equation A Step-by-Step Guide.srt'] 0 bytes
['26 - Logistic Regression/002 How to Calculate Maximum Likelihood in Logistic Regression Step-by-Step Guide.mp4'] 0 bytes
['26 - Logistic Regression/002 How to Calculate Maximum Likelihood in Logistic Regression Step-by-Step Guide.srt'] 0 bytes
['26 - Logistic Regression/003 Step 1a - Machine Learning Classification Logistic Regression in Python.mp4'] 0 bytes
['26 - Logistic Regression/003 Step 1a - Machine Learning Classification Logistic Regression in Python.srt'] 0 bytes
['26 - Logistic Regression/004 Step 1b - Logistic Regression Analysis Importing Libraries and Splitting Data.mp4'] 0 bytes
['26 - Logistic Regression/004 Step 1b - Logistic Regression Analysis Importing Libraries and Splitting Data.srt'] 0 bytes
['26 - Logistic Regression/005 Step 2a - Data Preprocessing for Logistic Regression Importing and Splitting.mp4'] 0 bytes
['26 - Logistic Regression/005 Step 2a - Data Preprocessing for Logistic Regression Importing and Splitting.srt'] 0 bytes
['26 - Logistic Regression/006 Step 2b - Data Preprocessing Feature Scaling for Machine Learning in Python.mp4'] 0 bytes
['26 - Logistic Regression/006 Step 2b - Data Preprocessing Feature Scaling for Machine Learning in Python.srt'] 0 bytes
['26 - Logistic Regression/007 Step 3a - Implementing Logistic Regression for Classification with Scikit-Learn.mp4'] 0 bytes
['26 - Logistic Regression/007 Step 3a - Implementing Logistic Regression for Classification with Scikit-Learn.srt'] 0 bytes
['26 - Logistic Regression/008 Step 3b - Predicting Purchase Decisions with Logistic Regression in Python.mp4'] 0 bytes
['26 - Logistic Regression/008 Step 3b - Predicting Purchase Decisions with Logistic Regression in Python.srt'] 0 bytes
['26 - Logistic Regression/009 Step 4a - Using Classifier Objects to Make Predictions in Machine Learning.mp4'] 0 bytes
['26 - Logistic Regression/009 Step 4a - Using Classifier Objects to Make Predictions in Machine Learning.srt'] 0 bytes
['26 - Logistic Regression/010 Step 4b - Evaluating Logistic Regression Model Predicted vs Real Outcomes.mp4'] 0 bytes
['26 - Logistic Regression/010 Step 4b - Evaluating Logistic Regression Model Predicted vs Real Outcomes.srt'] 0 bytes
['26 - Logistic Regression/011 Step 5 - Evaluating Machine Learning Models Confusion Matrix and Accuracy.mp4'] 0 bytes
['26 - Logistic Regression/011 Step 5 - Evaluating Machine Learning Models Confusion Matrix and Accuracy.srt'] 0 bytes
['26 - Logistic Regression/012 Step 6a - Creating a Confusion Matrix for Machine Learning Model Evaluation.mp4'] 0 bytes
['26 - Logistic Regression/012 Step 6a - Creating a Confusion Matrix for Machine Learning Model Evaluation.srt'] 0 bytes
['26 - Logistic Regression/013 Step 6b - Visualizing Machine Learning Results Training vs Test Set Comparison.mp4'] 0 bytes
['26 - Logistic Regression/013 Step 6b - Visualizing Machine Learning Results Training vs Test Set Comparison.srt'] 0 bytes
['26 - Logistic Regression/014 Step 7a - Visualizing Logistic Regression 2D Plots for Classification Models.mp4'] 0 bytes
['26 - Logistic Regression/014 Step 7a - Visualizing Logistic Regression 2D Plots for Classification Models.srt'] 0 bytes
['26 - Logistic Regression/015 Step 7b - Visualizing Logistic Regression Interpreting Classification Results.mp4'] 0 bytes
['26 - Logistic Regression/015 Step 7b - Visualizing Logistic Regression Interpreting Classification Results.srt'] 0 bytes
['26 - Logistic Regression/016 Step 7c - Visualizing Test Results Assessing Machine Learning Model Accuracy.mp4'] 0 bytes
['26 - Logistic Regression/016 Step 7c - Visualizing Test Results Assessing Machine Learning Model Accuracy.srt'] 0 bytes
['26 - Logistic Regression/017 Logistic Regression in Python - Step 7 (Colour-blind friendly image).html'] 0 bytes
['26 - Logistic Regression/018 Machine Learning Regression and Classification EXTRA.html'] 0 bytes
['26 - Logistic Regression/019 EXTRA CONTENT Logistic Regression Practical Case Study.html'] 0 bytes
['26 - Logistic Regression/Course updated jan 2025.txt'] 0 bytes
['26 - Logistic Regression/Direct Download.txt'] 0 bytes
["27 - Congratulations!! Don't forget your Prize )/001 Huge Congrats for completing the challenge!.html"] 0 bytes
["27 - Congratulations!! Don't forget your Prize )/002 Bonus How To UNLOCK Top Salaries (Live Training).html"] 0 bytes
["27 - Congratulations!! Don't forget your Prize )/Course updated jan 2025.txt"] 0 bytes
["27 - Congratulations!! Don't forget your Prize )/Direct Download.txt"] 0 bytes

:Search:

Deep Learning A-Z 2025 Neural Networks, AI ChatGPT Jan 2025

Discussion