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1. Parkinson-Prediction-Model Parkinson-Prediction-Model Public

   We train different models and apply techniques gives us better evaluation metrics, and find out the best model which works the best for Parkinson's Prediction System

   Jupyter Notebook

2. Stock-Price-Prediction Stock-Price-Prediction Public

   This project implements time series analysis techniques to capture temporal patterns and trends in stock price movements and gives a generalized model.

   Jupyter Notebook

3. Digit-recognition-model Digit-recognition-model Public

   Achieved 99.46% accuracy by integrating Encoder-Decoder Architechture, CNN, early stopping, batch normalization, pooling, and dropout, outperforming traditional FCNN and RNN models

   Jupyter Notebook

4. Dog-vs-Cat-Classification Dog-vs-Cat-Classification Public

   Dog vs Cat Classification model trained over MobileNetv2. The model is trained on 2000 images and gives an accuracy of 98.75%

   Jupyter Notebook

5. Human-Stress-Prediction Human-Stress-Prediction Public

   Human Stress Detection in and through Sleep by monitoring physiological data. The KNN model is working with an accuracy of 100% and random forest model is working with an accuracy of 99.35%.

   Jupyter Notebook

6. DSA DSA Public

   DSA Practice with C++ using GeeksforGeeks and Leetcode Questions

   C++