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antropy_eeg_analysis

AntroPy: entropy and complexity of (EEG) time-series in Python

deep-learning-mri-for-alzheimers

This project was conducted as an Introduction to implementing CNN for classification of Alzheimers Progression using MRI scans

deep-learning-v2-pytorch

Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101

eeg-parkinsons-alzheimers-machine-learning

gcp-data-architecture-for-churn-analysis

This repository contains a churn analysis model incorporating multiple techniques like Feature Selection using RFE, Model Ensembing using Voting classifier, and Regularization. Furthermore, the repo also contains data engineering code for ETL pipelining and feature engineering on GCP.

kagglex-bipoc

loan-default-predictor

This project was conducted to understand how to handle severely imbalanced datasets for supervised classification. SMOTE and various machine learning algorithms have been implemented to classify loan defaulters.

negation_handling

Negation Handling using Synsets in WordNet

product-popularity-calculator

The main objective of this project is to design a Machine Learning pipeline that calculates the popularity of products from clickstream data obtained from the iOS, android and Web apps.

product-popularity-forecaster

review_scraper

Kimberly Clark Customer Sentiment Analysis webapp

sentiment-analysis

Research Paper

sleep_stage_detection_machine_learning

tensorflow_fast-style-transfer

TensorFlow CNN for fast style transfer ⚡🖥🎨🖼

udacity-data-scientist-nanodegree

utkarshredd

xai-eeg-alcoholism-analysis

This project was conducted to develop an architectural pipeline for extracting features from EEG and devising an Explainable Machine Learning model that can accurately capture signs of alcoholoism from EEG and visualize the significant brain regions potentially showing signs of alcoholism