multiple-linear-regression

Machine Learning Concepts with Concepts

This is a collection of some of the important machine learning algorithms which are implemented with out using any libraries. Libraries such as numpy and pandas are used to improve computational complexity of algorithms

This project analyzes and visualizes the Used Car Prices from the Automobile dataset in order to predict the most probable car price

A simple python program that implements a very basic Multiple Linear Regression model

The respository is for Machine learning basiscs.

Computational Intelligence Packages (CIP) for Mathematica

Implementation of backward elimination algorithm used for dimensionality reduction for improving the performance of risk calculation in life insurance industry.

A small project on chennai water level prediction using machine learning algorithms | Time Series Analysis | Multiple Linear Regression

This is a repository that contains Python implementations of Machine Learning (ML) models from scratch.

Functions to analyse compositional data and produce confidence intervals for relative increases and decreases in the compositional components

Estimating the rent in Paris using multiple linear regression with dummies variables.

Statistical model on NBA basketball players' performance using multiple linear regression and stepwise search.

Group LASSO with Asymmetric Structure Estimation for Multi-Task Learning

Master Degree Coursework: Econometrics I

The current repository is able to assess the relationship between EEG components and HDDM parameters of top-down attention in perceptual decision-making using a multiple regression model

How do cloud providers stack up?

C# Console Application: Asks for two files containing historical financial data in the same format as files from Yahoo Finance. Performs the two-step Engel-Granger Test for Cointegration and simulates profits of applying the Pairs Trading Strategy to these stocks. To Project further Includes code to conduct statistical inference and a Function to perform the Augmented Dickey-Fuller Test for stationarity of a time series, which is part of the Engel-Granger Test for cointegration.

Some codes that show Machine Learning algorithms using sklearn except Deep Learning.

Chennai Water Level Prediction using Machine Learning Algorithms

Multiple linear regression

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.

All my Machine Learning Projects from A to Z in (Python & R)

Multiple linear regression models to predict non-airline revenues at DEN airport in R.

Predict Insurance charges using feature bmi, sex, smoker, region, have children and age

Full machine learning practical with R.

Machine Learning in R

A Regression Exercise covering OLS & Ridge Regression