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.

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

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

Predicting Boston Housing Prices using Linear Regression

Machine learning project to predict NYC property prices.

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

Explore properties adversarial training in linear models. Companion code to the paper "Regularization properties of adversarially-trained linear regression"

No description provided.

PCA For Dimension Reduction And Visualization, Temperature-Yield Prediction Via Linear Regression, And Linear Fit Optimization Using Gradient Descent.

Linear Regression Algorithms for Machine Learning using Scikit Learn

Multiple Linear Regression from scratch without using scikit-learn.

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

Short Project by Coursera on Linear Regression With Python

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

A predictor for students' grade using Linear Regression

Point-of-Sale (POS) for Sweet Avenue Coffe • Bakeshop

performs simple linear regression over a given dataset

TourPredict is a predictive modeling project that analyzes the impact of environmental factors on tourism resource allocation. Using data on temperature, air quality, noise levels, and visitor statistics, it builds models (Linear Regression, Random Forest) to forecast resource needs and optimize site management.

A very simple Multiple Linear Regression (MLR) algorithm from Scratch. I did not use Scikit-Learn or any similar libraries

linear regression python implementation

This project basically aims to provide a visual representation and comparative analysis of close price data related to different company ticker. It involves an interactive dashboard for users to display analysis and prediction of stocks data by using LSTM + XG-Boost model

I created a Laptop Price Predictor that uses Linear Regression as the model. I preprocessed the data, split the dataset into training and testing sets, and built a simple Flask web app to deploy the project.

Machine learning project implementing linear regression for housing price prediction using Python and scikit-learn

This repository contains applications of various topics under Machine Learning

CMP5101 - Data Mining Homeworks - Explanatory Data Analysis, Univariate Feature Selection, Decision Tree Regressor and Linear Regression, K-means & Text Mining

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.

Simple Linear Regression using Gradient Descent

Machine Learning: LSTM Network

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

Python examples of regression analysis, including simple linear regression, multiple regression, model evaluation, and data visualization.