A data-driven tool to predict the reaction order of homogeneous gas-phase reactions. Includes machine learning experiments on the NIST Chemical Kinetics Database.

This is a simple python program which uses a machine learning model to detect toxicity in tweets, developed in Flask.

Lichess to FIDE rating converter using linear regression.

End-to-end implementation of Spam Detection in Email using Machine Learning, Python, Flask, Gunicorn, Scikit-Learn, and Logistic Regression on the Heroku cloud application platform.

Final year project (Heart disease prediction using machine learning techniques)

Predict home value using golang and IBM Db2 warehouse on cloud

Second year of the workshop series on biological statistics in R at RSB, ANU.

MIT EDX Course

This is a realtime dashboard of CoronaVirus stats for India

Guest lecture on Bayesian regression for graduate psych/stats class

Abstract: The S&P500 is difficult to predict. Multi-factor models provide a useful framework for making returns predictions and for controlling portfolio risk. This paper explores a three-step process in predicting PCA and Autoencoders factors to generate multi-factor models from the S&P500 component securities.

Machine Learning Model Deployed on Flask Web App

Crime Dashboard for India

100 days ML challenge by Siraj Raval

PYTHON- Projects in my MAT-243 STATS for STEM I course at SNHU (HTML files and Python files with source code and reports)

Analyze a dataset with information about movies. Creates a linear and a bayesian model to predict movie popularity.

A Mobile and Web application using which farmers can analyze the crops yield in the given set of environmental conditions

HarvardX: PH125.7x | Data Science: Linear Regression

Project: What factors impact the accuracy of airfare prediction?

This repository contains code archives for models that predict taxi prices. Link deployment: