OLS results and Linear Regression in R

This repository contains a project I completed for an NTU course titled CB4247 Statistics & Computational Inference to Big Data. In this project, I applied regression and machine learning techniques to predict house prices in India.

Data Science Assignment

My repository for python implementation of a few prominent machine learning algorithms

This Python script uses BeautifulSoup for web scraping, matplotlib for data visualization, and performs an ordinary least squares regression analysis.

Ordinary Least Squares on Wine Data

Lattice Data with R (City of Cape Town)

Machine Learning algorithms and models

Advanced Regression Data Analysis Projects (Stat 353, Northwestern University)

Simple linear regression

Spatial Statistics Assignment1

A complete guide to Ordinary Least Squares regression with diagnostics, robust alternatives, and best practices. Includes theory, implementation, model comparison, and practical recommendations using Python's statsmodels.

These are graphical plots of reliability data which are quick and useful visual test to determine if a particular model is consistent with an observed data from an operating system or manufacturing equipment

Ordinary Least Squares on Advertising Data

This repository contains the Python script for predicting housing prices using linear regression models.

OLS bivariate regression in Golang

Machine learning project predicting housing prices using the Ames Housing dataset. Includes R-based preprocessing, feature engineering, model comparison (OLS, Ridge, Lasso, PCR, PLS, MARS, SVM, KNN, NN), and evaluation using RMSE and R².