There are 1 repository under multilinear-regression topic.
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 profitability is expected, along with a theoretical rational for these hypotheses and test the hypotheses. Multiple independent variables very tried to come up with some meaningful conclusions.
This is a project that contains several techniques of AI to data forecast.
My Machine Learning Repository
practice 2.2 | multilinear regression | automobile company | price prediction
practice 2.1 | multilinear regression | startup companies | profit prediction
ml5 (friendly machine learning for the web) SharePoint Framework (SPFx) extension
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.
STAT-420 Methods of Applied Statistics - SUMMER 2017 - UIUC
This repository contains notebook introducing reader to basic concepts of multilinear regression and its application.
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
This project demonstrates the effectiveness of machine learning models in predicting health insurance costs based on individual characteristics and relevant factors. The developed system provides accurate cost estimates, allowing individuals and insurance providers to make informed decisions regarding coverage and premium rates
Regression
Each folder contains a project that utilizes several different computer science, financial, and statistical concepts to solve unique business problems.
Consider only the below columns and prepare a prediction model for predicting Price.
Colaborate work with Bernhard Hofbauer for our final project in the course "statistische methoden der datenanalyse" in the WS2020
Kalinda's personal website
Multi Linear Regression - Assignment - 50 Startups
Regression analysis of voice measurements to predict UPDRS scores for people susceptible to Parkinson's Disease
Practice machine learning from Aurelien Geron's book
Data Science assignments
EXCELR ALL ASSIGNMENTS
This repository contains snippets of advanced Python programs including Machine Learning, Deep Learning and Neural Network Models.
This project aims to predict sales based on advertising spending.
In-depth exploration of linear regression models, including data cleaning, model building, and performance evaluation on various datasets.
This project focuses on predicting residential property prices in Ames, Iowa using multiple linear regression models. The workflow includes data cleaning, exploratory data analysis (EDA), and model evaluation to optimise real estate sales strategies. The analysis highlights the relationships between property features.
This is a data science project that aims to predict the salary of prospective employees given certain features
Supervised Learning project aimed at using various features to predict life expectancy.