This House price prediction make by Linear Regression of Machine Learning also implement Ridge & Lasso Regression

Repository for Data Analytics project

Prediction using Logistic Regression on Titanic Data set from Kaggle

Predicting House Prices using Linear Regression, Random Forest and GBT Regression

Machine through SKLearn

Ridge Regression and Random Forest Regression models are build predictive models on the estimation of energy performance of residential buildings.

Based on yrs of experience Salary is predicted

Code for logistic regression classification from scratch. This project helps one understand the inner workings of this classification algorithm.

CO2 emission regression analysis on the Canada dataset using various regression techniques.

predict House price by linear regression and non linear regression

using machine learning regression algorithms to train model for predictions

Machine Learning Files

This House price prediction make by Linear Regression of Machine Learning.

Boston housing price prediction using machine learning algorithms

In today’s world, one of the most important factors that Retailers place high importance on is forecasting sales to predict their revenue. Forecasting revenue is often the starting point for preparing an annual budget, which is still challenging for many companies. By forecasting sales, decision makers can plan for business expansion and determine.

This project aims to develop a credit default prediction model using regression and principal component analysis to select the best performing model.

Regression with Linear Regression, Decision Trees, KNN and Random Forest.

This repo includes assignments for the Machine Learning-1 course at the Tech Leaders Program at Plaksha University

This repository contains code for creating a life expectancy prediction model trained on WHO population dataset