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.

Life expectancy, an estimate of the number of remaining years of life a person has, is an important consideration for making clinical decisions in primary care. Predicting Life Expectancy helps analyze the average lifespan of the countrymen which helps in making crucial health decisions.

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

Job-A-thon ML challenge

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

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

Population_Pyramid_France_2017

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

Prediction model for Salary Hike by Simple Linear Regression

📗 This repository provides an in-depth exploration of the predictive linear regression model tailored for Jamboree Institute students' data, with the goal of assisting their admission to international colleges. The analysis encompasses the application of Ridge, Lasso, and ElasticNet regressions to enhance predictive accuracy and robustness.

Flight fare Prediction end-to-end project

House Price prediction in US

Prediction model for Delivery Time by Simple Linear Regression

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.