High Accuracy of NBA game outcome & team performance prediction and outstanding player detection.

R file that examines regression models and the correlation between variables

This is a javascript regression framework.

Our goal is to use descriptive analysis to ask and solve questions about the given datasets found on Kaggle. Knowing various aspects about a battle, including the house leader, the outcome, and the battle style, can we predict the outcome of a battle given only one or two facts? Kaggle data found here: https://www.kaggle.com/mylesoneill/game-of-…

Kaggle Competetions and Kernels

Обучение модели для предугадывания курса валют c Jupyter обложкой Analyze $ prediction {python skylearn linear regression models}

Simple Gaussian process in R.

Data and analysis code for IB Chemistry IA

Supervised Machine Learning Project with Scikit-Learn: Regression

Price Optimization Model for Airbnb, which helps Airbnb hosts set the right price for their Airbnb listing and provides customers, the benefit of cost. This is a Regression Analysis problem.

An introduction to regression analysis & model parameter estimation

Performing linear regression and data visualization on CommuteStLouis.csv

Lineær regresjon brukes til å forutsi den kontinuerlige avhengige variabelen ved å bruke et gitt sett med uavhengige variabler. Logistisk regresjon brukes til å forutsi den kategoriske avhengige variabelen ved hjelp av et gitt sett med uavhengige variabler. ... Produksjonen for lineær regresjon må være en kontinuerlig verdi, for eksempel pris, a…

Regression analysis for the continuous variable using the Scikit-learn library.

Consumers' Willingness to Pay for Different Delivery Time Intervals

This is an example of how Regression Machine Learning tasks can be solved by different algorithms such as Linear Regression, Support Vector Machine etc.