Python Bootcamp

Files:

• Get Bonus Downloads Here.url (0.2 KB)
~Get Your Files Here ! 1 - Introduction
• 1 -Introduction.mp4 (18.6 MB)
• 2 - Course resources.html (0.1 KB)
Python Bootcamp files
• ML Intro PPT.pptx (8.9 MB)
• PyTorch_Tutorial.ipynb (13.2 KB)
Python training data till Seaborn
• Housing.csv (29.3 KB)
• Housing.xlsx (37.5 KB)
• Housing_with_null.csv (29.1 KB)
• MatplotLib.ipynb (1,003.8 KB)
• Numpy.ipynb (53.1 KB)
• Pandas.ipynb (233.8 KB)
• Python_Tutorial.ipynb (139.8 KB)
• Seaborn.ipynb (2.0 MB)
• example.txt (0.0 KB)
• Scikit_Learn_Tutorial.ipynb (4.8 KB)
• deep learning intro.pptx (997.8 KB)
• tensorflow_Tutorial.ipynb (17.3 KB)
10 - Pandas Library
• 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)
11 - Matplotlib Library
• 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)
12 - Seaborn Library
• 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)
13 - Scikit-Learn (sklearn) Library
• 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)
14 - Deep Learning Basic
• 1 -Introduction to Deep Learning.mp4 (100.8 MB)
15 - Tensorflow Framework
• 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)
16 - PyTorch Framework
• 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)
17 - Conclusion
• 1 - About your certificate.html (0.9 KB)
• 1 - Bonus Lecture.html (9.1 KB)
2 - Getting Started with Python
• 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)
3 - Data Structures in Python
• 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)
4 - Conditional Statements in Python
• 1 -Introduction to Conditional Statements.mp4 (31.7 MB)
• 2 -Operators and Advanced Conditions.mp4 (79.7 MB)
5 - Loops in Python
• 1 -For Loops in Python.mp4 (76.9 MB)
• 2 -While Loops in Python.mp4 (51.6 MB)
6 - Functions in Python
• 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)
7 - File Handling in Python
• 1 -Reading and Writing Files in Python.mp4 (69.4 MB)
8 - Machine Learning Basic
• 1 -Introduction to Machine Learning.mp4 (100.8 MB)
9 - Numpy Library
• 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 (0.1 KB)