***ML-Models:
    Implementation of multiple models (LSTM, SVM-StochasticGradient, naive-bayes etc, for classification 
    based on Embeded matrix (One-Hot-Encoding))

***Subsequence: 
    Implementation of finding Max sum Subsequence in a series

***URLClassifier:
    Implementation of SVM-SMO algorithm using PySpark for data processing

***Recommendor:
    Implementation of colaborative filtering for recommendor system
    
***DeepNN:
    Implementation of Computer Vision and Neural Network related Algorithms.
    
***Streamlit:
    A dashboard usng stremlit API.