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2025 AI Python Development Megaclass 300 Hands-on Projects -Udemy 'School of AI'

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2025 AI Python Development Megaclass 300 Hands-on Projects -Udemy 'School of AI'

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Files:

2025 AI Python Development Megaclass 300 Hands-on Projects -Udemy 'School of AI'.txt 236 bytes
001 Intro Week 1 Python Prog Basics.mp4 2.4 MB
002 Day 1 Intro Python and Dev Setup.mp4 130.0 MB
003 Day 2 Control Flow in Python.mp4 222.6 MB
004 Day 3 Functions and Modules.mp4 139.4 MB
005 Day 4 Data Structure List, Tuple, Dict, Set.mp4 200.5 MB
006 Day 5 Working with Strings.mp4 152.3 MB
007 Day 6 File Handling.mp4 148.6 MB
008 Day 7 Pythonic Code and Project Work.mp4 309.4 MB
009 Video ''009'' does not exist. Cont. to ''010...''.txt 240 bytes
AIBootcamp.pdf 2.4 MB
Code files.zip 30.4 MB
Python100Days Code.zip 5.4 MB
Python100Days.pdf 524.2 KB
074 Introduction to Week 10 Convolutional Neural Networks (CNNs).mp4 4.2 MB
075 Day 1 Introduction to Convolutional Neural Networks.mp4 212.8 MB
076 Day 2 Convolutional Layers and Filters.mp4 189.7 MB
077 Day 3 Pooling Layers and Dimensionality Reduction.mp4 210.6 MB
078 Day 4 Building CNN Architectures with Keras and TensorFlow.mp4 142.4 MB
079 Day 5 Building CNN Architectures with PyTorch.mp4 204.8 MB
080 Day 6 Regularization and Data Augmentation for CNNs.mp4 148.7 MB
081 Day 7 CNN Project – Image Classification on Fashion MNIST or CIFAR-10.mp4 248.0 MB
082 Introduction to Week 11 Recurrent Neural Networks (RNNs) and Sequence Modeling.mp4 4.2 MB
083 Day 1 Introduction to Sequence Modeling and RNNs.mp4 275.1 MB
084 Day 2 Understanding RNN Architecture and Backpropagation Through Time (BPTT).mp4 212.9 MB
085 Day 3 Long Short-Term Memory (LSTM) Networks.mp4 112.6 MB
086 Day 4 Gated Recurrent Units (GRUs).mp4 52.7 MB
087 Day 5 Text Preprocessing and Word Embeddings for RNNs.mp4 207.5 MB
088 Day 6 Sequence-to-Sequence Models and Applications.mp4 401.4 MB
089 Day 7 RNN Project – Text Generation or Sentiment Analysis.mp4 156.0 MB
090 Introduction to Week 12 Transformers and Attention Mechanisms.mp4 4.0 MB
091 Day 1 Introduction to Attention Mechanisms.mp4 110.7 MB
092 Day 2 Introduction to Transformers Architecture.mp4 139.3 MB
093 Day 3 Self-Attention and Multi-Head Attention in Transformers.mp4 189.4 MB
094 Day 4 Positional Encoding and Feed-Forward Networks.mp4 165.8 MB
095 Day 5 Hands-On with Pre-Trained Transformers – BERT and GPT.mp4 168.7 MB
096 Day 6 Advanced Transformers – BERT Variants and GPT-3.mp4 171.3 MB
097 Day 7 Transformer Project – Text Summarization or Translation.mp4 155.4 MB
098 Introduction to Week 13 Transfer Learning and Fine-Tuning.mp4 3.2 MB
099 Day 1 Introduction to Transfer Learning.mp4 118.9 MB
100 Day 2 Transfer Learning in Computer Vision.mp4 234.4 MB
101 Day 3 Fine-Tuning Techniques in Computer Vision.mp4 191.4 MB
102 Day 4 Transfer Learning in NLP.mp4 142.4 MB
103 Day 5 Fine-Tuning Techniques in NLP.mp4 224.2 MB
104 Day 6 Domain Adaptation and Transfer Learning Challenges.mp4 128.5 MB
105 Day 7 Transfer Learning Project – Fine-Tuning for a Custom Task.mp4 154.2 MB
106 Learn Python from Scratch - Quick Tutorial.mp4 180.0 MB
107 Day 1 Welcome Message Generator Print Statements & Hello World.mp4 70.7 MB
108 Day 2 Personalized Greeting Program Variables & Data Types.mp4 76.6 MB
109 Day 3 Simple Calculator User Input & String Formatting.mp4 81.9 MB
110 Day 4 Number Comparison Tool If-Else Statements.mp4 74.7 MB
111 Day 5 Countdown Timer Loops (For & While).mp4 55.0 MB
112 Day 6 Basic Math Quiz Game Functions.mp4 99.5 MB
113 Day 7 Shopping List App Lists.mp4 110.4 MB
114 Day 8 Contact Book Dictionaries.mp4 131.1 MB
115 Day 9 Ingredient Checker Tuples & Sets.mp4 82.2 MB
116 Day 10 Note-Taking App File Handling.mp4 102.5 MB
117 Day 11 Safe Calculator Exception Handling.mp4 94.8 MB
118 Day 12 Temperature Converter Functions with Return Values.mp4 92.2 MB
119 Day 13 Student Grade Manager List Comprehensions.mp4 76.8 MB
120 Day 14 Random Password Generator Modules & Libraries.mp4 92.8 MB
121 Day 15 Recipe Viewer App Reading Files.mp4 101.3 MB
122 Day 16 Daily Journal Logger Writing Files.mp4 97.1 MB
123 Day 17 Student Report Generator CSV Files.mp4 95.2 MB
124 Day 18 Mini To-Do App JSON Files.mp4 116.8 MB
125 Day 19 Weather App using API APIs (Basics).mp4 116.5 MB
126 Day 20 Event Countdown Timer Dates & Time.mp4 97.2 MB
127 Day 21 Wikipedia Article Scraper Web Scraping.mp4 139.9 MB
128 Day 22 Bank Account Simulator Classes & Objects.mp4 132.6 MB
129 Day 23 Library Management System Constructors & Methods.mp4 109.5 MB
130 Day 24 Employee Management System Inheritance.mp4 143.8 MB
131 Day 25 Animal Sound Simulator Polymorphism.mp4 86.3 MB
132 Day 26 Secure User Profile App Encapsulation.mp4 118.4 MB
133 Day 27 Inventory Management System Static & Class Methods.mp4 108.6 MB
134 Day 28 Mini ATM Machine Final OOP Project.mp4 120.3 MB
135 Day 29 Simple GUI App Tkinter Basics.mp4 116.3 MB
136 Day 30 Click Counter App Buttons & Events.mp4 124.8 MB
137 Day 31 BMI Calculator Input Fields.mp4 130.0 MB
138 Day 32 Drawing Pad App Canvas Widgets.mp4 134.2 MB
139 Day 33 Simple Login System Message Boxes.mp4 115.1 MB
140 Day 34 To-Do List GUI Advanced Widgets.mp4 118.5 MB
141 Day 35 Expense Tracker App GUI Capstone.mp4 154.7 MB
142 Day 36 Hello Flask App Flask Basics.mp4 95.6 MB
143 Day 37 Personal Blog Website Routes & Templates.mp4 147.5 MB
144 Day 38 Contact Form App Forms & User Input.mp4 79.7 MB
145 Day 39 User Registration App Database Integration.mp4 127.7 MB
146 Day 40 Mini Weather API REST APIs.mp4 124.9 MB
147 Day 41 Deploy Flask App Deployment.mp4 122.0 MB
148 Day 42 Portfolio Website Flask Capstone.mp4 101.1 MB
010 Intro Week 2 Data Science Essentials.mp4 3.1 MB
011 Day 1 Intro NumPy for Numerical Computing.mp4 162.1 MB
012 Day 2 Advanced NumPy Operations.mp4 148.5 MB
013 Day 3 Intro Pandas for Data Manipulation.mp4 152.5 MB
014 Day 4 Data Cleaning and Prep - Pandas.mp4 155.8 MB
015 Day 5 Data Aggregation, Grouping in Pandas.mp4 99.0 MB
016 Day 6 Data Visualize, Matplotlib, Seaborn.mp4 221.7 MB
017 Day 7 EDA Project.mp4 168.5 MB
149 Day 43 Matrix Calculator NumPy.mp4 113.8 MB
150 Day 44 Data Cleaner Pandas.mp4 93.7 MB
151 Day 45 Graph Plotter Matplotlib.mp4 118.4 MB
152 Day 46 Sales Report Analyzer Data Analysis.mp4 167.7 MB
153 Day 47 Temperature Plotter Plotting Trends.mp4 133.4 MB
154 Day 48 Stock Price Tracker Data Scraping.mp4 121.7 MB
155 Day 49 COVID-19 Dashboard Capstone Project.mp4 145.5 MB
156 Day 50 Weather Dashboard App.mp4 200.6 MB
157 Day 51 Expense Tracker.mp4 139.9 MB
158 Day 52 File Organizer Tool.mp4 114.6 MB
159 Day 53 Tic-Tac-Toe Game.mp4 187.2 MB
160 Day 54 Mini Chatbot.mp4 67.6 MB
161 Day 55 Music Playlist Organizer.mp4 155.7 MB
162 Day 56 Personal Budget Planner.mp4 105.7 MB
163 Day 57 ASCII Art Generator.mp4 104.1 MB
164 Day 58 Pomodoro Timer.mp4 164.6 MB
165 Day 59 Markdown to HTML Converter.mp4 123.4 MB
166 Day 60 Personal Diary App.mp4 147.9 MB
167 Day 61 Social Media Scraper.mp4 94.6 MB
168 Day 62 Automated Backup Tool.mp4 100.0 MB
169 Day 63 Movie Recommendation System.mp4 115.0 MB
170 Day 64 PDF Merger Tool.mp4 72.7 MB
171 Day 65 Portfolio Website Backend.mp4 142.5 MB
172 Day 66 Flashcards Learning App.mp4 69.4 MB
173 Day 67 Stock Market Dashboard.mp4 116.1 MB
174 Day 68 Task Scheduler.mp4 121.9 MB
175 Day 69 Currency Converter.mp4 83.6 MB
176 Day 70 Data Visualizer App.mp4 150.4 MB
177 Day 71 Spam Email Detector.mp4 202.3 MB
178 Day 72 Text Sentiment Analyzer.mp4 84.1 MB
179 Day 73 Handwriting Digit Recognition.mp4 209.3 MB
180 Day 74 Voice Assistant.mp4 129.4 MB
181 Day 75 Face Detection App.mp4 133.0 MB
182 Day 76 Simple Recommendation System.mp4 114.0 MB
183 Day 77 AI Chatbot with NLP.mp4 97.8 MB
184 Day 78 Object Detection App.mp4 83.6 MB
185 Day 79 Language Translator Tool.mp4 72.2 MB
186 Day 80 Fake News Detector.mp4 104.5 MB
187 Intro Algorithms and in Python.mp4 13.8 MB
188 1 Supervised Linear Regression.mp4 38.3 MB
189 2 Sup. Ridge, Lasso Regression.mp4 51.6 MB
190 3 Supervised Polynomial Regression.mp4 47.0 MB
191 4 Supervised Logistic Regression.mp4 36.4 MB
192 5 Supervised KNN.mp4 40.3 MB
193 6 Supervised SVM.mp4 42.2 MB
194 7 Supervised Decision Trees.mp4 41.0 MB
195 8 Supervised Random Forests.mp4 40.6 MB
196 9 Supervised Gradient Boosting.mp4 41.7 MB
197 10 Supervised Naive Bayes.mp4 36.7 MB
198 11 Unsup. K-Means Clustering.mp4 22.8 MB
199 12 Unsup. Hierarchical Clustering.mp4 30.2 MB
200 13 Unsupervised DBSCAN.mp4 26.0 MB
201 14 Unsupervised GMM.mp4 28.0 MB
202 15 Unsupervised PCA.mp4 28.2 MB
203 16 Unsup. t-Distributed Stochastic.mp4 32.4 MB
204 17 Unsupervised Autoencoders.mp4 57.8 MB
205 18 Self-Training.mp4 51.9 MB
206 19 Q-Learning.mp4 64.4 MB
207 20 Deep Q-Networks (DQN).mp4 111.0 MB
208 21 Policy Gradient Methods.mp4 93.0 MB
209 22 One-Class SVM.mp4 28.9 MB
210 23 Isolation Forest.mp4 32.4 MB
211 24 CNNs.mp4 64.7 MB
212 25 RNNs.mp4 58.2 MB
213 26 LSTM.mp4 55.1 MB
214 27 Transformers.mp4 92.4 MB
018 Intro Week 3 Mathematics for Machine Learning.mp4 3.2 MB
019 Day 1 Linear Algebra Fundamentals.mp4 143.9 MB
020 Day 2 Advanced Linear Algebra Concepts.mp4 134.6 MB
021 Day 3 Calculus for Machine Learning (Derivatives).mp4 123.2 MB
022 Day 4 Calculus (Integrals and Optimization).mp4 103.5 MB
023 Day 5 Probability Theory, Distributions.mp4 179.1 MB
024 Day 6 Statistics Fundamentals.mp4 137.2 MB
025 Day 7 Math-Driven Mini Proj – Linear Regression.mp4 113.3 MB
026 Intro Week 4 Probability and Statistics.mp4 3.6 MB
027 Day 1 Probability Theory and Random Variables.mp4 122.7 MB
028 Day 2 Probability Distributions in Machine Learning.mp4 116.0 MB
029 Day 3 Stat Inference - Estimation, Confidence Intervals.mp4 112.7 MB
030 Day 4 Hypothesis Testing and P-Values.mp4 70.8 MB
031 Day 5 Types of Hypothesis Tests.mp4 132.7 MB
032 Day 6 Correlation and Regression Analysis.mp4 124.7 MB
033 Day 7 Stat Analysis Proj – Analyzing Real-World Data.mp4 208.4 MB
034 Intro Week 5 Machine Learning.mp4 3.6 MB
035 Day 1 Machine Learning Basics, Terminology.mp4 98.3 MB
036 Day 2 Intro Supervised Learning, Regress Model.mp4 100.6 MB
037 Day 3 Adv Regression – Polynomial Regularization.mp4 304.6 MB
038 Day 4 Intro Classification and Logistic Regression.mp4 187.0 MB
039 Day 5 Model Evaluation and Cross-Validation.mp4 112.9 MB
040 Day 6 k-Nearest Neighbors (k-NN) Algorithm.mp4 139.5 MB
041 Day 7 Supervised Learning Mini Project.mp4 227.7 MB
042 Intro Week 6 Feature Engineering, Model Eval.mp4 2.9 MB
043 Day 1 Introduction to Feature Engineering.mp4 105.9 MB
044 Day 2 Data Scaling and Normalization.mp4 131.7 MB
045 Day 3 Encoding Categorical Variables.mp4 132.1 MB
046 Day 4 Feature Selection Techniques.mp4 128.2 MB
047 Day 5 Creating and Transforming Features.mp4 140.8 MB
048 Day 6 Model Evaluation Techniques.mp4 117.4 MB
049 Day 7 Cross-Validation, Hyperparameter Tun.mp4 162.3 MB
050 Intro Week 7 Adv Algorithms.mp4 2.8 MB
051 Day 1 Introduction to Ensemble Learning.mp4 115.1 MB
052 Day 2 Bagging and Random Forests.mp4 107.1 MB
053 Day 3 Boosting and Gradient Boosting.mp4 127.2 MB
054 Day 4 Introduction to XGBoost.mp4 153.8 MB
055 Day 5 LightGBM and CatBoost.mp4 167.2 MB
056 Day 6 Handling Imbalanced Data.mp4 139.8 MB
057 Day 7 Proj – Compare Models Real Dataset.mp4 207.2 MB
058 Introduction to Week 8 Model Tuning and Optimization.mp4 4.2 MB
059 Day 1 Introduction to Hyperparameter Tuning.mp4 109.3 MB
060 Day 2 Grid Search and Random Search.mp4 136.1 MB
061 Day 3 Advanced Hyperparameter Tuning with Bayesian Optimization.mp4 245.0 MB
062 Day 4 Regularization Techniques for Model Optimization.mp4 116.7 MB
063 Day 5 Cross-Validation and Model Evaluation Techniques.mp4 102.4 MB
064 Day 6 Automated Hyperparameter Tuning with GridSearchCV and RandomizedSearchCV.mp4 171.3 MB
065 Day 7 Optimization Project – Building and Tuning a Final Model.mp4 207.9 MB
066 Introduction to Week 9 Neural Networks and Deep Learning Fundamentals.mp4 3.8 MB
067 Day 1 Introduction to Deep Learning and Neural Networks.mp4 110.7 MB
068 Day 2 Forward Propagation and Activation Functions.mp4 109.8 MB
069 Day 3 Loss Functions and Backpropagation.mp4 118.1 MB
070 Day 4 Gradient Descent and Optimization Techniques.mp4 180.9 MB
071 Day 5 Building Neural Networks with TensorFlow and Keras.mp4 153.9 MB
072 Day 6 Building Neural Networks with PyTorch.mp4 240.4 MB
073 Day 7 Neural Network Project – Image Classification on CIFAR-10.mp4 200.8 MB

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