multiple-linear-regression
There are 9 repositories under multiple-linear-regression topic.
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
Language:Jupyter Notebook 181free-to-learn / Machine-Learning-Concepts
Machine Learning Concepts with Concepts
Language:Jupyter Notebook 162shantanu1109 / Coursera-DeepLearning.AI-Stanford-University-Machine-Learning-Specialization
This Repository contains Solutions to the Quizes & Lab Assignments of the Machine Learning Specialization (2022) from Deeplearning.AI on Coursera taught by Andrew Ng, Eddy Shyu, Aarti Bagul, Geoff Ladwig.
Language:Jupyter Notebook 99sanithps98 / 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
Language:Jupyter Notebook 43mahesh147 / Multiple-Linear-Regression
A simple python program that implements a very basic Multiple Linear Regression model
Language:Python 35Tobias-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.
Language:C# 20Anindya-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).
Language:Python 14AkJoshi19 / MachineLearning_A_Z
The respository is for Machine learning basiscs.
Language:Python 13AGhaderi / 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
Language:Jupyter Notebook 12marcelcases / calibration-sensors-machine-learning
Calibration of an air pollution sensor monitoring network in uncontrolled environments with multiple machine learning algorithms
Language:Python 12VaibhavAbhimanyooHiwase / 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.
life-insurancedata-sciencedata-mining-algorithmsbackward-eliminationmultiple-linear-regressionstatisticsstatistical-analysisstatistical-learningstatistical-modelsstatistical-datarisk-analysisrisk-calculationsrisk-modellingrisk-modelsrisk-assessmentinsurancep-valuealpha-valuerandom-forestkaggle-life-insuranceLanguage:Python 12tystan / deltacomp
Functions to analyse compositional data and produce confidence intervals for relative increases and decreases in the compositional components
Language:R 10AlvinJiaozhu / Linear-Regression-Model-Basketball
Statistical model on NBA basketball players' performance using multiple linear regression and stepwise search.
Language:R 9bagheri365 / ML-Models-from-Scratch
This is a repository that contains Python implementations of Machine Learning (ML) models from scratch.
Language:Jupyter Notebook 9BendeguzBiksi / Master-Studies-Econometrics-I
Master Degree Coursework: Econometrics I
Language:Stata 9- FIFA-2019-Player-Data-EDALanguage:Jupyter Notebook 9
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beastgetssavvy13 / chennai-water-level-machine-learning
A small project on chennai water level prediction using machine learning algorithms | Time Series Analysis | Multiple Linear Regression
Language:Jupyter Notebook 8pramodini18 / Fish-weight-prediction
Multiple linear regression
Language:Jupyter Notebook 8- Language:Python 8
Functions to analyse compositional data and produce confidence intervals for relative increases and decreases in the compositional components
Language:R 8habiburrahman-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)
Language:Jupyter Notebook 7m0-k1 / Mutiple-Linear-Regression-Model
Using Multiple Linear Regression model to predict the consumption of fuel by a car
Language:Jupyter Notebook 7mnassrib / multiple-linear-regression
Estimating the rent in Paris using multiple linear regression with dummies variables.
Language:Jupyter Notebook 7- Language:Python 7
viditgarg1999 / Chennai-Water-Level-Prediction
Chennai Water Level Prediction using Machine Learning Algorithms
Language:Jupyter Notebook 7Lunarestia / 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)
Language:HTML 6- RegressionHousingPrices
sjmiller8182 / RegressionHousingPrices
Project using multiple linear regression to model prices of houses in Ames, IA.
Language:R 6 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)
datapreprocessingpythonrregressionsimple-linear-regressionmultiple-linear-regressionsupport-vector-regression--svrpolynomial-regressiondecision-tree-regressionrandom-forest-regressionevaluating-regression-models-perfregularization-methodsclassificationlogistic-regressionk-nearest-neighbors-k-nnsupport-vector-machine-svmkernel-svmnaive-bayesdecision-tree-classificationrandom-forest-classificationLanguage:Jupyter Notebook 5anubhav199 / Water-Level-Prediction-in-Chennai
An attempt to put together all the data-sets that have the information about the various water sources available in the city Chennai.
Language:Jupyter Notebook 4- Language:APL 4
miftahulridwan / WVS-Data-Analysis
Multiple Linear Regression (MLR) on Wave 6 of the World Values Survey (WVS) data
Language:R 4pattanaikay / Boombikes-LinearRegression-Assignment
Linear Regression performed on the Boombikes bike rental dataset as part of an assignment for coursework.
Language:Jupyter Notebook 4PayThePizzo / Predictive-Analysis-Notes
Predictive Analysis Course's notes for Computer Science B.S. at Ca' Foscari University of Venice
Language:HTML 4shaadclt / Energy-Output-Prediction-MultipleLinearRegressor
This project involves the prediction of energy output in a Combined Cycle Power Plant (CCPP) using Multiple Linear Regression in Jupyter Notebook. The dataset contains features such as temperature, pressure, humidity, and exhaust vacuum, which are used to predict the net hourly electrical energy output.
Language:Jupyter Notebook 4
