Multiple Disease Prediction System

Discover medical diagnosis with our Disease Detection App. This project features a Python script and user-friendly web app using Streamlit. Focusing on predictive modeling, it identifies diabetes, heart disease, and Parkinson's.

Movie Recommendation System

MovieMatch Recommender enhances decision-making by offering personalized movie recommendations, saving users time and effort. It also aids movie studios and streaming services in identifying user preferences, informing the development and marketing of successful new movies.

Video Games Sales Prediction

Video Games Sales is a project that analyzes the sales of video games. The project uses data from a variety of sources. Analyzed video game sales data using ML models - KNN, Decision Trees, Random Forest, SVM, XGBoost to predict global sales with up to 82% accuracy.

Uber Price Analysis in R

This project analyzes the dataset of Uber and Lyft for Boston during November and December to predict the price, which is the target variable. The goal of the project is to build a model that accurately predicts the price based on various factors such as distance, time of day, and weather conditions

British_Airways_VirtualProgram

Python-driven data analysis unveiled crucial insights from consumer feedback on British Airways. From data collection using BeautifulSoup to exploratory analysis and predictive modeling, discover trends in ratings, origins of reviews, and actionable patterns for service enhancement.

Transport Prediction

This project aims to predict whether a person will use public or private transport based on their demographic and employment data. The dataset contains information on age, gender, education, work experience, salary, distance from work, and license ownership for 444 individuals.