Topic: multiple-linear-regression Goto Github
Some thing interesting about multiple-linear-regression
Some thing interesting about multiple-linear-regression
multiple-linear-regression,Apex team`s multiple regression project. It contains: What is Multiple Regression? Advantages and disadvantages of multiple regression, least square method and real implementation.
User: abdirayimovs
multiple-linear-regression,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
User: aghaderi
multiple-linear-regression,The respository is for Machine learning basiscs.
User: akjoshi19
multiple-linear-regression,This is an assignment wherein a multiple linear regression model is built to predict demand for shared bikes depending on the current trend.
User: akshaykadam100
multiple-linear-regression,Statistical model on NBA basketball players' performance using multiple linear regression and stepwise search.
User: alvinjiaozhu
multiple-linear-regression,In this project we are comparing various regression models to find which model works better for predicting the AQI (Air Quality Index).
User: anindya-das02
multiple-linear-regression,An attempt to put together all the data-sets that have the information about the various water sources available in the city Chennai.
User: anubhav199
multiple-linear-regression,This is a repository that contains Python implementations of Machine Learning (ML) models from scratch.
User: bagheri365
multiple-linear-regression,A small project on chennai water level prediction using machine learning algorithms | Time Series Analysis | Multiple Linear Regression
User: beastgetssavvy13
multiple-linear-regression,Master Degree Coursework: Econometrics I
User: bendeguzbiksi
Home Page: https://www.barcelonagse.eu/sites/default/files/course-s001-quant-stats-methods.pdf
multiple-linear-regression,Machine Learning with Python
User: bgr8
multiple-linear-regression,Predicting Loan Amount for rural people based on Regression
User: bhattbhavesh91
multiple-linear-regression,How do cloud providers stack up?
Organization: catalyst-cloud
multiple-linear-regression,Mult-Loci nonlinear/Linear Model based on new algorithm For GWAS , Epistasis and GS(ISR)
User: czheluo
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.
User: dixitamol
multiple-linear-regression,Machine Learning Concepts with Concepts
Organization: free-to-learn
multiple-linear-regression,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)
User: habiburrahman-mu
multiple-linear-regression,Toolkit for Data Science & Statistics
User: joshdavid
multiple-linear-regression,All my Machine Learning Projects from A to Z in (Python & R)
User: joycechidi
multiple-linear-regression,Predicted house prices using multiple linear regression. Used back elimination to further improve the model and select features based on p-value and adjusted R squared value.
User: kaur-anupreet
multiple-linear-regression,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
User: krivi95
multiple-linear-regression,PYTHON- Projects in my MAT-243 STATS for STEM I course at SNHU (HTML files and Python files with source code and reports)
User: lunarestia
multiple-linear-regression,Using Multiple Linear Regression model to predict the consumption of fuel by a car
User: m0-k1
multiple-linear-regression,
User: madhurima-nath
multiple-linear-regression,A simple python program that implements a very basic Multiple Linear Regression model
User: mahesh147
multiple-linear-regression,Calibration of an air pollution sensor monitoring network in uncontrolled environments with multiple machine learning algorithms
User: marcelcases
multiple-linear-regression,Multiple Linear Regression (MLR) on Wave 6 of the World Values Survey (WVS) data
User: miftahulridwan
multiple-linear-regression,Estimating the rent in Paris using multiple linear regression with dummies variables.
User: mnassrib
multiple-linear-regression,Linear Regression performed on the Boombikes bike rental dataset as part of an assignment for coursework.
User: pattanaikay
multiple-linear-regression,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
User: pavankalyan1997
multiple-linear-regression,Predictive Analysis Course's notes for Computer Science B.S. at Ca' Foscari University of Venice
User: paythepizzo
multiple-linear-regression,Multiple linear regression
User: pramodini18
multiple-linear-regression,BIG DATA AND DATA ANALYTICS PROJECT REPORT ON RELATIONSHIP BETWEEN DRUG DOSAGE AND PULSE RATE OF PATIENTS USING MULTIPLE LINEAR REGRESSIONS.
User: priyansh-15
Home Page: https://github.com/Priyansh-15/Dosage-And-Pulse-Rate-Relation
multiple-linear-regression,Machine Learning in R
User: reddyprasade
multiple-linear-regression,This project analyzes and visualizes the Used Car Prices from the Automobile dataset in order to predict the most probable car price
User: sanithps98
multiple-linear-regression,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.
User: shaadclt
multiple-linear-regression,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.
User: shantanu1109
multiple-linear-regression,Group LASSO with Asymmetric Structure Estimation for Multi-Task Learning
User: shgo
multiple-linear-regression,Project using multiple linear regression to model prices of houses in Ames, IA.
User: sjmiller8182
Home Page: https://sjmiller8182.github.io/RegressionHousingPrices/
multiple-linear-regression,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.
User: tobias-mann
multiple-linear-regression,Module for evaluation of homoscedasticity and corrections
User: trentbrunson
multiple-linear-regression,Functions to analyse compositional data and produce confidence intervals for relative increases and decreases in the compositional components
User: tystan
multiple-linear-regression,Functions to analyse compositional data and produce confidence intervals for relative increases and decreases in the compositional components
User: tystan
multiple-linear-regression,Implementation of backward elimination algorithm used for dimensionality reduction for improving the performance of risk calculation in life insurance industry.
User: vaibhavabhimanyoohiwase
multiple-linear-regression,Supervised-ML---Multiple-Linear-Regression---Toyota-Cars. EDA, Correlation Analysis, Model Building, Model Testing, Model Validation Techniques, Collinearity Problem Check, Residual Analysis, Model Deletion Diagnostics (checking Outliers or Influencers) Two Techniques : 1. Cook's Distance & 2. Leverage value, Improving the Model, Model - Re-build, Re-check and Re-improve - 2, Model - Re-build, Re-check and Re-improve - 3, Final Model, Model Predictions.
User: vaitybharati
multiple-linear-regression,Chennai Water Level Prediction using Machine Learning Algorithms
User: viditgarg1999
multiple-linear-regression,Target potential B2C bank market by forecasting probability distribution of their future revenue
User: xfzhang-zoey
multiple-linear-regression,Computational Intelligence Packages (CIP) for Mathematica
User: zielesny
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