A small repository explaining how you can validate your linear regression model based on assumptions

Predicting Boston Housing Prices using Linear Regression

A system that is capable of automatically irrigating the agricultural field by sensing the parameters of soil in real-time and predicting crop based on those parameters using machine learning. The system also predicts the yield of the crop.

Analyse a Dataset of Ecommerce company based in New York City that sells clothing online , order either on a mobile app or website for the clothes they want.Predict whether to buy using mobile app or website

"Stock Predictor" project basically aims to provide a visual representation and analysis of data related to time-series data which is constantly changing. This provides a dashboard to user displaying current trends and stocks data which uses ML like "LSTM" and "Random Forest" model.

Multiple Linear Regression from scratch without using scikit-learn.

Linear Regression Algorithms for Machine Learning using Scikit Learn

Mathematics for Intelligent Systems-1 Project on Student Grade Prediction using Linear Regression

The aim of our project is to analyze past years' bird strike data with respect to the phase of flight, time of day, pilot warning status, and various other parameters.

Creating Linear Regression Model From Scratch

Machine learning project to predict NYC property prices.

These are my notes, lessons, models, and code for topics on machine learning. Topics include everything from data pre-processing to logistic regression intuition, and more!

linear regression python implementation

A predictor for students' grade using Linear Regression

This repository contains applications of various topics under Machine Learning

Deep Learning and Text Analysis: Compare Linear Regression and Neural Network Results

An investigation of various GapMinder datasets.

This is a small multiple linear regression project created for academic purposes.

The goal of this project is to build a model that can accurately predict the price of a house based on its features.