Python Bootcamp
Torrent Info
| Category | Other |
| Added | Thursday 25th September 2025 06:33:55 PM (1 year ago) |
| Size | 3.8 GB |
| Peers | 1 Peers (1 Seeders and 0 leechers) update |
| Downloaded | 18 times |
| Uploader | freecoursewb Thank You (0) Report Torrent 00/0 |
| Comments | None |
| Uploader Comments | None |
| Tags | English |
| Seeders | 1 |
| Leechers | 0 |
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| Filename | Size |
|---|---|
| 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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