Practical-Machine-Learning-with-Python

Machine Learning tutorials in Python

1. Part - 1 [ Theory ][ Code ]

• What is Machine Learning and Types of Machine Learning?
• Linear Regression
• Gradient Descent
• Logistic Regression
• Overfitting and Underfitting
• Regularization
• Cross Validation

2. Part - 2 [ Theory and Code ]

• Naive Bayes
• Support Vector Machines
• Decision Tree
• Random Forest and Boosting algorithms
• Preprocessing and Feature Extraction techniques

3. Part - 3 [ Theory and Code ]

• K-nearest Neighbors Algorithm
• K-means Clustering
• Principal Component Analysis
• Neural Networks

4. Part - 4 [ ipynb ]

• Project - 1

5. Part - 5

• Convolutional Neural Networks
• Recurrent Neural Networks

6. Part - 6

• Autoencoder
• Denoising Autoencoder
• Restricted Boltzmann Machine
• Deep Belief Network

7. Part - 7

• Generative Adversarial Networks
• Variational Autoencoder

8. Part - 8

• Project - 2