Estudo e implementação dos principais algoritmos de Machine Learning em Jupyter Notebooks.

Predicting the age of abalone using multiple regression in R

Automating Assumption Checks for Regression Models (Work in Progress, Currently Paused)

Project for customer management in the Marketing Analytics Department of a large retail bank. The aim of this project is to know which marketing activity effectively retains customers. We have information about individual customer profitability (CLV) and a survey was conducted as well. A research model explaining/predicting individual customer p…

This is a project that contains several techniques of AI to data forecast.

practice 2.1 | multilinear regression | startup companies | profit prediction

EXCELR ALL ASSIGNMENTS

practice 2.2 | multilinear regression | automobile company | price prediction

ml5 (friendly machine learning for the web) SharePoint Framework (SPFx) extension

My Machine Learning Repository

STAT-420 Methods of Applied Statistics - SUMMER 2017 - UIUC

This repository contains notebook introducing reader to basic concepts of multilinear regression and its application.

Prepare a prediction model for profit of 50_startups data. Do transformations for getting better predictions of profit and make a table containing R^2 value for each prepared model.

Jupyter Notebook kernel exploring sales of Toyota Corolla. The exercise contains various Machine Learning Linear Regression algorithms that have been used to predict the sale price of Toyota Corolla.

By using back propagation algorithm in Multilinear Regression

Practice machine learning from Aurelien Geron's book