Machine-Learning-projects

Implementation of different algorithm and some projects

1. K-nearest neighbor
2. Convex optimization
3. Math for Machine Learning
4. Machine Learning Cheatsheet
5. Linear Regression
6. Logistic Regresion
7. Neural Network, Backpropagation
8. Convolution Neural Network, VGG-10
9. Transfer learning, data augmentation, feature extractor
10. Object detection, Object segmentation 11.Autoencoder, variational autoencoder, dimensionality reduction, denoise dataset
11. GAN, conditional GAN

TODO:

• Autograd
• LDA, QDA, NB
• T-SNE, PCA, kernel PCA
• SVM
• Boosting, Bagging, Random Forest
• Cross validation, Bootstrap
• RNN
• Transformers
• Deep RL
• Utilities: Dataloaders, etc

Useful Link

COMS30007