E

exploratory data analysis

The EDA (exploratory data analysis) repository consist of all the EDA related projects based on the real world datasets.

A data-driven project to optimize solar installation site selection through comparative analysis of environmental data across multiple locations, enhancing energy yield and operational resilience.

This project predicts house prices using machine learning models based on the King County House Sales dataset. It explores Simple Linear, Multiple Linear, Polynomial, and Ridge Regression models, comparing their performance in terms of accuracy. The best model identified is Polynomial Regression, achieving an R² score of 0.75.

An application for immediate treatment in emergency situations via centrally managed health camps.

Machine Learning - Recommendation System

Machine Learning - Binary Classification

Machine Learning - Multiclass Classification

Machine Learning - Classification Problem

Machine Learning - Binary Classification

Exploratory Data Analysis (EDA) on Haberman Dataset. Feature Importance.