multiple-linear-regression

pavankalyan1997/Machine-learning-without-any-libraries

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

free-to-learn/Machine-Learning-Concepts

Machine Learning Concepts with Concepts

sanithps98/Automobile-Dataset-Analysis

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

mahesh147/Multiple-Linear-Regression

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

Tobias-Mann/Pairs-Trading-Analyzer

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.

Anindya-Das02/Comparison-of-ML-models-for-predicting-AQI

In this project we are comparing various regression models to find which model works better for predicting the AQI (Air Quality Index).

gmrandazzo/QStudioMetrics

A Comprehensive Software for Data Mining and Multivariate Analysis

AGhaderi/hDDM_attention

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

marcelcases/calibration-sensors-machine-learning

Calibration of an air pollution sensor monitoring network in uncontrolled environments with multiple machine learning algorithms

tystan/deltacomp

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

AkJoshi19/MachineLearning_A_Z

The respository is for Machine learning basiscs.

VaibhavAbhimanyooHiwase/Risk_Calculation_using_Backward_Elimination_Algorithm_in_Life_Insurance

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

bagheri365/ML-Models-from-Scratch

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

BendeguzBiksi/Master-Studies-Econometrics-I

Master Degree Coursework: Econometrics I

pramodini18/Fish-weight-prediction

Multiple linear regression

sagnikghoshcr7/FIFA-2019-Player-Data-EDA

tystan/codaredistlm

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

zielesny/CIP

Computational Intelligence Packages (CIP) for Mathematica

AlvinJiaozhu/Linear-Regression-Model-Basketball

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

beastgetssavvy13/chennai-water-level-machine-learning

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

habiburrahman-mu/car-price-prediction-using-regression-models

Building a Machine Learning Model to Predict the Price of the Car By Comparing Performance of Different Regression Techniques (Simple Linear Regression, Multiple Linear Regression, Polynomial Regression)

shardulinamdar4/End_to_end_machine_learning_approach_for_crop_yeild_prediction

shgo/gamtl

Group LASSO with Asymmetric Structure Estimation for Multi-Task Learning

just-krivi/real-estate-market-analysis

Streamlit web app using custom ML models (multiple linear regression and one-to-many multiclass kernel SVM) for predicting real estate prices; Scraping and analyzing real estate listings in Serbia

Lunarestia/MAT243-Applied-Statistics-for-STEM-I

PYTHON- Projects in my MAT-243 STATS for STEM I course at SNHU (HTML files and Python files with source code and reports)

m0-k1/Mutiple-Linear-Regression-Model

Using Multiple Linear Regression model to predict the consumption of fuel by a car

mnassrib/multiple-linear-regression

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

PayThePizzo/Predictive-Analysis-Notes

Predictive Analysis Course's notes for Computer Science B.S. at Ca' Foscari University of Venice

viditgarg1999/Chennai-Water-Level-Prediction

Chennai Water Level Prediction using Machine Learning Algorithms

reddyprasade/Machine-Learning-With-R

Machine Learning in R

sjmiller8182/RegressionHousingPrices

Project using multiple linear regression to model prices of houses in Ames, IA.

dixitamol/banking_CLV_CRM

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.

Joycechidi/MachineLearning

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

miftahulridwan/WVS-Data-Analysis

Multiple Linear Regression (MLR) on Wave 6 of the World Values Survey (WVS) data

JoshDavid/KokoStats

Toolkit for Data Science & Statistics