Multiple linear regression of U.S. health data to identify key contributors to life expectancy.

A study on 'a titanic probability' via kaggle's dataset.

This repo contains EDA of red and white wine and how it relates to quality.

developing several models (Linear Regression, Multiple Linear Regression, and Polynomial Regression) that will predict the price of the car using the variables or features. Then evaluating these models (in-sample, and cross-validation) using R-squared and Mean-Squared-Error metrics to find out which model is a better fit for this dataset.

A statistical study to compare vehicle performance of the MechaCar vehicles against other manufacturers. Perform multiple linear regression analaysis , T-tests and collect summary statistics on various parameters.

Exercises and assignments made during a Computational Intelligence class at Federal University Of Ceará.

Statistical analysis of a product prototype using R and tidyverse. Multiple linear regressions, statistical summaries, and t-tests are used for analysis and predictions. A study is also designed to compare this product to the competition.

Regression,Classification,Clustering,Recommender Systems

In this repository works using diffrent types of regressions

This assignment was for a US bike-sharing provider, BoomBikes, wherein a multiple linear regression model was used to predict demand for shared bikes to help the company come up with a mindful business plan to accelerate its revenue.

This repository concerns Machine Learning concepts Contents: Written by Brian Lesko, the repository contains Python Notebooks demonstrating Statistical Machine Learning theories largely originating from the book, An Introduction to Statistical Learning, by Gareth James.

Analysed and model built for wine quality

Exploratory Data Analysis and build a Multiple Linear Regression Model using statsmodels module

Simulation of buildings energy efficiency

Final Project for STA 141A with Dr. Emmanuela Furfaro

Time series model using multiple linear regression on call-centre data.

This GitHub repository showcases a Python project implementing insurance prediction through a multiple linear regression machine learning algorithm, featuring a PyQt5 graphical user interface for seamless user interaction.

Mult-Loci nonlinear/Linear Model based on new algorithm For GWAS , Epistasis and GS（ISR）

Value to Business :: Using this Regression model, the decision-makers will able to understand the properties of various products and stores which play an important and key role in optimizing the Marketing efforts and results in increased sales.

Data Analysis of the impact of socio-economic background on driving behavior among US teens.