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Python Bootcamp

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Type:

Tutorials

Language:

English

Category:

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Size:

3.8 GB

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Sept. 25, 2025, 6:33 p.m.

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Files:

Get Bonus Downloads Here.url 180 bytes
1 -Introduction.mp4 18.6 MB
2 - Course resources.html 106 bytes
ML Intro PPT.pptx 8.9 MB
PyTorch_Tutorial.ipynb 13.2 KB
Housing.csv 29.3 KB
Housing.xlsx 37.5 KB
Housing_with_null.csv 29.1 KB
MatplotLib.ipynb 1003.8 KB
Numpy.ipynb 53.1 KB
Pandas.ipynb 233.8 KB
Python_Tutorial.ipynb 139.8 KB
Seaborn.ipynb 2.0 MB
example.txt 18 bytes
Scikit_Learn_Tutorial.ipynb 4.8 KB
deep learning intro.pptx 997.8 KB
tensorflow_Tutorial.ipynb 17.3 KB
1 -Introduction to Pandas DataFrames.mp4 40.8 MB
2 -Working with Series and DataFrames.mp4 47.3 MB
3 -Core Methods for Data Analysis in Pandas.mp4 111.6 MB
4 -Handling Missing and Null Data.mp4 109.2 MB
5 -DataFrame Transformation and Manipulation.mp4 110.6 MB
1 -Getting Started with Matplotlib Library.mp4 39.5 MB
2 -Plotting Fundamentals Creating and Customizing Visuals.mp4 116.5 MB
3 -Subplots and Scatter Plots Comparative and Relational Analysis.mp4 78.1 MB
4 -Bar Charts, Histograms, and Pie Charts Distribution and Composition Insights.mp4 85.8 MB
1 -Introduction to the Seaborn Library.mp4 71.5 MB
2 -Visualizing Distributions Univariate and Bivariate Analysis.mp4 50.4 MB
3 -Advanced Plots in Seaborn Pairplots and Barplot Customization.mp4 88.6 MB
4 -Complex Visualizations Countplots and Heatmaps.mp4 63.9 MB
1 -Introduction to Scikit-Learn and Environment Setup.mp4 43.3 MB
2 -Data Loading Utilities in Scikit-Learn.mp4 61.6 MB
3 -Supervised Learning with Scikit-Learn.mp4 46.3 MB
4 -Unsupervised Learning with Scikit-Learn.mp4 63.6 MB
5 -Data Transformation Techniques in Scikit-Learn.mp4 74.7 MB
6 -Model Selection and Evaluation in Scikit-Learn.mp4 77.3 MB
7 -Visualization Tools in Scikit-Learn.mp4 50.5 MB
8 -Saving and Reusing Models in Scikit-Learn.mp4 44.9 MB
1 -Introduction to Deep Learning.mp4 100.8 MB
1 -Introduction to TensorFlow.mp4 56.5 MB
2 -Working with Tensors and TensorFlow Operations.mp4 64.9 MB
3 -Key Components of TensorFlow.mp4 27.9 MB
4 -Building Models with Keras in TensorFlow.mp4 135.9 MB
5 -Understanding the Variety of Layers in Neural Networks.mp4 41.8 MB
6 -Project – Fashion MNIST Classification with TensorFlow.mp4 178.9 MB
1 -Introduction to PyTorch.mp4 65.9 MB
2 -Tensor Operations in PyTorch.mp4 49.9 MB
3 -Building Neural Networks with PyTorch.mp4 76.8 MB
4 -Project – Melanoma Cancer Prediction with PyTorch.mp4 49.6 MB
5 -Project Extension – Data Augmentation for Cancer Prediction.mp4 55.0 MB
6 -Project Extension – Defining a Custom Neural Network.mp4 96.9 MB
7 -Evaluating Models with Confusion Matrix in PyTorch.mp4 35.9 MB
8 -The final milestone!.mp4 12.7 MB
1 - About your certificate.html 945 bytes
1 - Bonus Lecture.html 9.1 KB
1 -What is Python & Why Learn It.mp4 37.1 MB
2 -This is a Milestone!.mp4 43.7 MB
3 -Understanding Variables in Python.mp4 67.5 MB
4 -Python Data Types.mp4 38.9 MB
5 -Working with Strings in Python.mp4 48.2 MB
6 -Useful String Methods.mp4 82.5 MB
1 -Lists in Python.mp4 75.0 MB
2 -Understanding Tuples.mp4 41.6 MB
3 -Working with Dictionaries.mp4 36.8 MB
4 -Sets in Python.mp4 29.9 MB
1 -Introduction to Conditional Statements.mp4 31.7 MB
2 -Operators and Advanced Conditions.mp4 79.7 MB
1 -For Loops in Python.mp4 76.9 MB
2 -While Loops in Python.mp4 51.6 MB
1 -Defining and Using Functions.mp4 70.7 MB
2 -Understanding Recursion.mp4 52.6 MB
3 -Lambda Functions in Python.mp4 49.5 MB
1 -Reading and Writing Files in Python.mp4 69.4 MB
1 -Introduction to Machine Learning.mp4 100.8 MB
1 -Overview of NumPy and Its Core Concepts.mp4 60.8 MB
2 -Indexing and Selecting Data in NumPy Arrays.mp4 33.5 MB
3 -Understanding Array Data Types, Shapes, and Stacking.mp4 53.0 MB
4 -Techniques for Creating Arrays in NumPy.mp4 42.7 MB
5 -Performing Mathematical and Statistical Operations with Arrays.mp4 46.1 MB
Bonus Resources.txt 70 bytes

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