ML-Models-from-Scratch

Repo for ML Models built from scratch. Includes

1. Data Structures in Python
2. Traditional ML:
   • Linear Regression
   • Logistic Regression
   • SVM
   • PCA
   • LDA
3. Deep Learning:
   • Loss with Backprop
   • Activations with BackProp
   • Layers: Dense (Linear), CNN, LSTM, Attention, MultiHead Attention
4. Metrics
5. Architectures:
   • Transformers
   • Encoder-Decoder
   • LSTM
   • DeepLab
   • UNET
   • YOLO (need to finish)
   • MAMBA (WIP)

This code contains the traditional and simpole ML models built using numpy, pandas and python 3. Once in a while pytorch is also used for some tasks. There might be some issues but will be solved over time. Not the best of the models but gives good understanding of the problems and helps in deep understanding of the concepts.