chatbot_microsoft_phi3

customer_lifetime_analysis-clv-

drugs_prescription_using_reviews

fitwell-reactjs

FDFED Group Project

fl-bc-btp

gold-price-predictor

Gold Price Description model using Random Forest Regressor

hpc

ipl-win-predictor

Developed a predictive model with 85% accuracy using Logistic Regression to forecast IPL match outcomes. Processed and analyzed datasets of 756 matches and 150,000 deliveries, ensuring model reliability through extensive EDA. Created a Streamlit app for real-time win predictions, providing a smooth and interactive user experience.

jazzai

This project is a Python-based music generation application. It uses the facebook/musicgen-melody model from Hugging Face and the Audiocraft library by MetaAI to generate music based on user input.

landingpageoptimization

This project conducts an A/B test on simulated click data. It includes data preprocessing, visualization, hypothesis testing, and statistical analysis using a two-sample Z-test. The project calculates the confidence interval, checks for practical significance, and visualizes the results.

mtbs

Movie Ticket Booking System using Java/JDBC and MySQL

nyc-taxi

sentimentanalysis

Sentiment analysis on the Keras IMDB DataSet

shivangsingh26

Config files for my GitHub profile.

spotify-analysis-on-tableau

telco_churn_analysis

A comprehensive project predicting customer churn for a telecommunications company using Logistic Regression, Decision Trees, and Random Forest models. Includes data preprocessing, feature engineering, model evaluation, and result visualization to provide actionable insights for customer retention.