| 1 - About your certificate.html | 921.6 B | ||
| 1 - Bonus Lecture.html | 9.1 KB | ||
| 1 -Defining and Using Functions.mp4 | 70.7 MB | ||
| 1 -For Loops in Python.mp4 | 76.9 MB | ||
| 1 -Getting Started with Matplotlib Library.mp4 | 39.5 MB | ||
| 1 -Introduction to Conditional Statements.mp4 | 31.7 MB | ||
| 1 -Introduction to Deep Learning.mp4 | 100.8 MB | ||
| 1 -Introduction to Machine Learning.mp4 | 100.8 MB | ||
| 1 -Introduction to Pandas DataFrames.mp4 | 40.8 MB | ||
| 1 -Introduction to PyTorch.mp4 | 65.9 MB | ||
| 1 -Introduction to Scikit-Learn and Environment Setup.mp4 | 43.3 MB | ||
| 1 -Introduction to TensorFlow.mp4 | 56.5 MB | ||
| 1 -Introduction to the Seaborn Library.mp4 | 71.5 MB | ||
| 1 -Introduction.mp4 | 18.6 MB | ||
| 1 -Lists in Python.mp4 | 75 MB | ||
| 1 -Overview of NumPy and Its Core Concepts.mp4 | 60.8 MB | ||
| 1 -Reading and Writing Files in Python.mp4 | 69.4 MB | ||
| 1 -What is Python & Why Learn It.mp4 | 37.1 MB | ||
| 2 - Course resources.html | 102.4 B | ||
| 2 -Data Loading Utilities in Scikit-Learn.mp4 | 61.6 MB | ||
| 2 -Indexing and Selecting Data in NumPy Arrays.mp4 | 33.5 MB | ||
| 2 -Operators and Advanced Conditions.mp4 | 79.7 MB | ||
| 2 -Plotting Fundamentals Creating and Customizing Visuals.mp4 | 116.5 MB | ||
| 2 -Tensor Operations in PyTorch.mp4 | 49.9 MB | ||
| 2 -This is a Milestone!.mp4 | 43.7 MB | ||
| 2 -Understanding Recursion.mp4 | 52.6 MB | ||
| 2 -Understanding Tuples.mp4 | 41.6 MB | ||
| 2 -Visualizing Distributions Univariate and Bivariate Analysis.mp4 | 50.4 MB | ||
| 2 -While Loops in Python.mp4 | 51.6 MB | ||
| 2 -Working with Series and DataFrames.mp4 | 47.3 MB | ||
| 2 -Working with Tensors and TensorFlow Operations.mp4 | 64.9 MB | ||
| 3 -Advanced Plots in Seaborn Pairplots and Barplot Customization.mp4 | 88.6 MB | ||
| 3 -Building Neural Networks with PyTorch.mp4 | 76.8 MB | ||
| 3 -Core Methods for Data Analysis in Pandas.mp4 | 111.6 MB | ||
| 3 -Key Components of TensorFlow.mp4 | 27.9 MB | ||
| 3 -Lambda Functions in Python.mp4 | 49.5 MB | ||
| 3 -Subplots and Scatter Plots Comparative and Relational Analysis.mp4 | 78.1 MB | ||
| 3 -Supervised Learning with Scikit-Learn.mp4 | 46.3 MB | ||
| 3 -Understanding Array Data Types, Shapes, and Stacking.mp4 | 53 MB | ||
| 3 -Understanding Variables in Python.mp4 | 67.5 MB | ||
| 3 -Working with Dictionaries.mp4 | 36.8 MB | ||
| 4 -Bar Charts, Histograms, and Pie Charts Distribution and Composition Insights.mp4 | 85.8 MB | ||
| 4 -Building Models with Keras in TensorFlow.mp4 | 135.9 MB | ||
| 4 -Complex Visualizations Countplots and Heatmaps.mp4 | 63.9 MB | ||
| 4 -Handling Missing and Null Data.mp4 | 109.2 MB | ||
| 4 -Project – Melanoma Cancer Prediction with PyTorch.mp4 | 49.6 MB | ||
| 4 -Python Data Types.mp4 | 38.9 MB | ||
| 4 -Sets in Python.mp4 | 29.9 MB | ||
| 4 -Techniques for Creating Arrays in NumPy.mp4 | 42.7 MB | ||
| 4 -Unsupervised Learning with Scikit-Learn.mp4 | 63.6 MB | ||
| 5 -Data Transformation Techniques in Scikit-Learn.mp4 | 74.7 MB | ||
| 5 -DataFrame Transformation and Manipulation.mp4 | 110.6 MB | ||
| 5 -Performing Mathematical and Statistical Operations with Arrays.mp4 | 46.1 MB | ||
| 5 -Project Extension – Data Augmentation for Cancer Prediction.mp4 | 55 MB | ||
| 5 -Understanding the Variety of Layers in Neural Networks.mp4 | 41.8 MB | ||
| 5 -Working with Strings in Python.mp4 | 48.2 MB | ||
| 6 -Model Selection and Evaluation in Scikit-Learn.mp4 | 77.3 MB | ||
| 6 -Project Extension – Defining a Custom Neural Network.mp4 | 96.9 MB | ||
| 6 -Project – Fashion MNIST Classification with TensorFlow.mp4 | 178.9 MB | ||
| 6 -Useful String Methods.mp4 | 82.5 MB | ||
| 7 -Evaluating Models with Confusion Matrix in PyTorch.mp4 | 35.9 MB | ||
| 7 -Visualization Tools in Scikit-Learn.mp4 | 50.5 MB | ||
| 8 -Saving and Reusing Models in Scikit-Learn.mp4 | 44.9 MB | ||
| 8 -The final milestone!.mp4 | 12.7 MB | ||
| Bonus Resources.txt | 102.4 B | ||
| Get Bonus Downloads Here.url | 204.8 B | ||
| Housing.csv | 29.3 KB | ||
| Housing.xlsx | 37.5 KB | ||
| Housing_with_null.csv | 29.1 KB | ||
| ML Intro PPT.pptx | 8.9 MB | ||
| Numpy.ipynb | 53.1 KB | ||
| Pandas.ipynb | 233.8 KB | ||
| PyTorch_Tutorial.ipynb | 13.2 KB | ||
| Python_Tutorial.ipynb | 139.8 KB | ||
| Scikit_Learn_Tutorial.ipynb | 4.8 KB | ||
| Seaborn.ipynb | 2 MB | ||
| deep learning intro.pptx | 997.8 KB | ||
| example.txt | 0 B | ||
| tensorflow_Tutorial.ipynb | 17.3 KB | ||
| ▲ 79 total files | |||
Python Bootcamp
https://WebToolTip.com
Published 9/2025
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 9h 36m | Size: 3.78 GB
Master Python and unlock power of data with NumPy, Pandas, Matplotlib, Seaborn, Scikit-Learn, TensorFlow, and PyTorch
What you'll learn
Gain a thorough understanding of Python syntax, script writing, and core concepts such as variables, data types, and string operations
Master the use of conditional statements and loops in Python to automate and optimize data processing tasks
Learn to design reusable Python functions to perform repetitive tasks efficiently, including recursion and lambda functions
Understand how to use NumPy arrays for complex mathematical computations and effectively handle large datasets with high performance
Master the use of Pandas for data manipulation and analysis; learn how to explore, clean, and transform data into a suitable format
Develop the ability to create insightful visual representations of data using Matplotlib and Seaborn libraries of Python
Gain hands-on experience with Scikit-Learn, applying supervised and unsupervised learning algorithms to solve real-world machine learning problems
Understand the fundamentals of Deep Learning and neural networks, forming the foundation to work with TensorFlow and PyTorch frameworks
Build and evaluate deep learning models in PyTorch, including projects such as Fashion MNIST classification and cancer prediction
Requirements
No prior experience in Python or data analysis is required; just basic computer skills and access to a computer with an internet connection are necessary to start this course.
| torrent name | size | uploader | age | seed | leech |
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Udemy - Ultimate Full stack Agentic AI and Generative AI with Python Posted by
freecoursewb in Other
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453.7 MB | freecoursewb | 1 day | 0 | 0 |
| 2.3 GB | freecoursewb | 1 day | 0 | 0 | |
| 3.8 GB | freecoursewb | 1 day | 1 | 192 | |
| 1.3 GB | JackieALF | 1 week | 0 | 0 | |
| 234.3 MB | SeedHash | 1 week | 23 | 7 |
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