multiple-linear-regression 开源项目推荐（756 个）

shantanu1109 /Coursera-DeepLearning.AI-Stanford-University-Machine-Learning-Specialization

本库包含由Andrew Ng、Eddy Shyu、Aarti Bagul、Geoff Ladwig在Coursera上 Deeplearning.AI 授课的机器学习专业（2022年）测验和实验作业的解答。

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

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).

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 t…

SENATOROVAI /Normal-equation-solver-multiple-linear-regression-course

Multiple Linear Regression (MLR) models the linear relationship between a continuous dependent variable and two or more independent (explanatory) variables. Using the equation, it predicts outcomes based on multiple factors. Key assumptions include linearity, constant variance of residuals, and low correlation between independent variables.Solver

gmrandazzo /QStudioMetrics

A Comprehensive Software for Data Mining and Multivariate Analysis

marcelcases /calibration-sensors-machine-learning

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

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

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.

tystan /codaredistlm

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

bagheri365 /ML-Models-from-Scratch

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

m0-k1 /Mutiple-Linear-Regression-Model

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

pramodini18 /Fish-weight-prediction

Multiple linear regression

AlvinJiaozhu /Linear-Regression-Model-Basketball

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

BendeguzBiksi /Master-Studies-Econometrics-I

Master Degree Coursework: Econometrics I