A linear regression implementation

LGES-WBS-Template-Duration-Analysis

Multiple-Linear-Regression-1. Consider only the below columns and prepare a prediction model for predicting Price of Toyota Corolla.p

This case study is for the analysis of viewers of a particular show, so that more viewers can be indulged in the show.

✈️ Flight delay EDA & estimation on a 12GB dataset using a custom C++ OLS estimator.

Used libraries and functions as follows:

Print-friendly, minimalist CV page

Penn ESE 305 Final Project using Machine Learning Techniques

Analysis of heatstroke Deaths in 1881, using modern statistics

You can find a fictive business case for a linear regression

Just a place to play around with stats

Project for the Machine Learning II 2022/23 class at the Faculty of Economic Sciences, University of Warsaw. I was responsible for the housing price prediction task for which I build OLS, random forests, XGBoost and neural networks regression models.

An OLS model that predicts golf scoring average improvement using PGA tour data.

This project is a hands-on exploration of multiple regression modeling techniques applied to real-world challenges in the context of real estate. It aims to understand how different features influence house or property prices. By utilizing multiple regression models, the project provides insights, decision support, and enhances data science skills.

Applied Econometrics Project, Analysis conducted with R

Python code meant to imitate the behavior and output of the R programming language's lm function.

A repository created to explore and understand Statistics through coding.

Implementation of Machine learning algorithms only using numpy.