This is an End-to-End Data Science project which can predict whether a person has diabetes, or not, based on information about the patient such as blood pressure, body mass index (BMI), age, etc.

The Gurugram Real Estate Analytics Project is a comprehensive data-driven solution that enhances property decision-making through three key modules: Prediction, Analytics & Visualization, and Recommendation. This project empowers users with valuable insights, enabling smarter and more strategic real estate investments.

A heart disease detection project using machine learning to analyze patient data and predict the likelihood of heart disease. The project aims to aid healthcare professionals in early detection, enabling timely interventions and improving patient outcomes.

My Digital Portfolio

Assignment 2 - Classification Models repository contains project for 36106 Machine Learning Algorithms and Applications

Class Imbalance

This study investigates the quality of exercise using the machine learning algorithms and classifies into varying degrees of effectiveness compared to standard practices. The exercise analyzed is dumbbell pull-ups.

Welcome to InferUSAData, your gateway to insightful data analysis with a focus on the United States. This repository houses a collection of data science projects, each dedicated to uncovering valuable insights from various datasets related to the USA.

This repository contains comparing 2 Machine Learning Algorithms' Fairness project from the Applied Data Science course at Columbia University

A personal portfolio website showcasing projects, blogs, and achievements. The portfolio includes sections on professional skills, recent blog posts, and data-driven projects, built using HTML, CSS, and Bootstrap.

This Repository includes all the Python concepts that are necessary for Data science.

I leverage the Spotify Million Song Dataset, which includes song titles, artist names, song links, and lyrics. I compare popular clustering techniques and implement a simple recommendation system ♫⋆｡♪ ₊˚♬ ﾟ.

Conducted Data Analysis on financial records to gain insight into how to minimize monthly expenditure. Created and trained a linear regression model to forecast expenditure for the following months.

Data Science & Machine Learning Notebooks in Python | MIT Course 2022, Fall Cohort