Machine Learning tutorials in Python
- What is Machine Learning and Types of Machine Learning?
- Linear Regression
- Gradient Descent
- Logistic Regression
- Overfitting and Underfitting
- Regularization
- Cross Validation
- Part - 2 [ Theory and Code ]
- Naive Bayes
- Support Vector Machines
- Decision Tree
- Random Forest and Boosting algorithms
- Preprocessing and Feature Extraction techniques
- Part - 3 [ Theory and Code ]
- K-nearest Neighbors Algorithm
- K-means Clustering
- Principal Component Analysis
- Neural Networks
- Part - 4 [ ipynb ]
- Project - 1
- Part - 5
- Convolutional Neural Networks
- Recurrent Neural Networks
- Part - 6
- Autoencoder
- Denoising Autoencoder
- Restricted Boltzmann Machine
- Deep Belief Network
- Part - 7
- Generative Adversarial Networks
- Variational Autoencoder
- Part - 8
- Project - 2