This project creates machine learning models capable of classifying candidate exoplanets from the raw dataset from NASA Kepler Space Telescope

SMS/Email spam prediction machine learning model.

A computer vision project using deep learning to detect face masks in live video. Accurate and efficient, it overlays results on the video feed, indicating mask presence. Monitors compliance in public spaces, workplaces, and healthcare settings for enhanced safety.

This project explores the predictive modeling workflow using the Kaggle competition "Titanic - Machine Learning from Disaster." It emphasizes key stages like data analysis and model evaluation, aiming to identify the optimal model. Through a real-world approach, we enhance our understanding of the workflow and emphasize rigorous model evaluation.

Contribution for Traffic Sign Detection and Warning System in real time with Custom Dataset & YOLOv8.

Revolutionizing Kidney Cancer Detection: Harnessing AI to Predict Renal Cell Carcinoma.

Collection of Jupyter notebooks and python code files explaining the essentials of Pytorch.

Predict Movie Ratings using Machine Learning, Regression

Implementation of digit recognition using the MNIST dataset. Train a model on grayscale handwritten digit images to accurately classify and predict numerical values of unseen digits.

This repository aims to create an end to end machine learning model using AWS Sagemaker.

CNN based Human Face Emotion Classification

This repo houses ML model development files for `worth`, a tool that estimates salaries based on skills, behavior, and demographic data of students. It includes data collection, cleaning, model training, and tuning.

A template for training neural networks by leveraging parallel computation on multiple GPUs, real time metrics monitoring using Tensorboard, and more.

A lambda function split preprocessed data into training and validation used for starting a training job within AWS SageMaker.

An image recognizer that recognizes 20 different shapes of Pasta.

A portfolio of all of the various Kaggle competitions and projects I have participated in, which mostly revolves around machine learning.

batchboost: regularization for stabilizing training with resistance to underfitting & overfitting

Single Headed Attention RNN - "Stop thinking with your head"

zoofs is a Python library for performing feature selection using a variety of nature-inspired wrapper algorithms. The algorithms range from swarm-intelligence to physics-based to Evolutionary. It's easy to use , flexible and powerful tool to reduce your feature size.