This repository contains code and data for analyzing real estate trends, predicting house prices, estimating time on the market, and building an interactive dashboard for visualization. It is structured to cater to data scientists, real estate analysts, and developers looking to understand property market dynamics.

A simple Linear Regression project on a simple dataset for beginners.

The dataset used for this project is taken from the official UCI Machine Learning Repository.

Exploratory Data Analysis & predicting medical insurance cost with machine learning.

Exploratory Data Analysis & predicting medical insurance cost with machine learning.

The use of Machine Learning Regression models for predicting energy loads of buldings.

Job-A-thon ML challenge

Population_Pyramid_France_2017

Prediction model for profit of 50 startups dataset by Multiple Linear Regression

This repository is about Analysis of Cricket Chirps, Brain-Body Weight, and Salary Discrimination Data: Linear regression, visualization,R2 squared and correlation assessments.

A machine learning repository for predicting CO₂ Injection Rates for Carbon Capture and Storage

Prediction model for Delivery Time by Simple Linear Regression

Flight fare Prediction end-to-end project

House Price prediction in US

This project provides a performance evaluation of credit card default prediction. Thus different models are used to test the variable in predicting the credit default and we found Random Forest Classifier performs the best with a recall of 0.95 on the test set.

A car price prediction model based on regressor task.

Diamond Price Predictor - Web Application: Predict diamond prices using various regression models: Linear Regression, Lasso, Ridge, ElasticNet, Decision Tree Regressor, Random Forest Regressor, and KNeighbors Regressor. The chosen Random Forest Regressor, with a remarkable accuracy of 97%, is deployed in a user-friendly Flask app