ols-regression-model
There are 1 repository under ols-regression-model topic.
Avinash793 / regression-analysis-examples
Detailed implementation of various regression analysis models and concepts on real dataset.
autocorrelationcooks-distancefeature-engineeringgoodness-of-fitheteroskedasticityinfluential-casesleveragesmulticollinearitymultiple-linear-regression-modelols-regression-modeloutlierspoisson-regression-modelpython3q-q-plotquantile-regressionregression-analysisregression-diagnosticsresidualssimple-linear-regressiongls-regression-modelLanguage:Jupyter Notebook 3vaitybharati / Assignment-05-Multiple-Linear-Regression-1
Multiple-Linear-Regression-1. Consider only the below columns and prepare a prediction model for predicting Price of Toyota Corolla.
Language:Jupyter Notebook 3jajokine / Statistics-Analysis
MITx - MicroMasters Program on Statistics and Data Science - Data Analysis: Statistical Modeling and Computation in Applications - First Project
Language:Jupyter Notebook 2KevinDepedri / AI-for-Finance
Stock market prediction on 5 italian companies using VAR model, OLS regressions and LSTM recurrent neural networks over data retrieved from Refinitiv Eikon
Language:Jupyter Notebook 2Elliott-dev / Indicators-of-Heart-Disease-Analysis
This project is about statistically analyzing risk factors for heart disease and performing A/B testing, descriptive and inferential statistics to provide health care plans and strategies to better understand the risk factors assocaited with heart disease and give key insights into what factors contribute most heavily and least heavily to the development of heart disease.
Language:Jupyter Notebook 1Fadhilahnur / OIL-and-USD-towards-CPI-Time-Series-Analysis-and-Forecasting-
Estimate the impact of OIL and USD towards CPI using least squares method using R
Language:R 1isiktopcu / QRMH1
Homework 1 for the INTL 601 Quantitative Research Methods Course, Prof. David Carlson, Koç University.
Language:R 1KSwaviman / Cracking-The-Personality-Code-A-Behavioral-Research
Our study focused on using the Big Five personality inventory to predict traits from students' smartphone sensor data collected over 2 months under the Horizon Europe project. Through correlation analyses and machine learning with cross-validation, we showed that predictions are reliable and accurate enough for practical use.
Language:TeX 1rainaa0277 / House-Price-Prediction-using-Linear-Regression
For a real estate firm, building a house price prediction model based upon various factors. Problem - Regression | Algorithm used -Linear Regression using OLS
Language:Jupyter Notebook 1- Language:Python 1
utsavchaudharygithub / CovidInfectionAnalysis
A collaborative project looking into the likelihood of Covid-19 infection in the United States.
Language:Jupyter Notebook 1WuCandice / Statistical-Analysis-on-US-Mortgage-Rates-Using-R
This project is about to use linear regression to examine the relationship between various economic variables and the mortgage rate in the United States.
Language:R 1Andreza-Nascimento / System-Identification
This repository contains a collection of assignments completed for the System Identification and Parameter Estimation (TIP7044) course at the Federal University of Ceará during my Master's degree.
Language:MATLAB 0avd1729 / Regression-using-OLS
Simple Linear Regression using Ordinary Least Squares
Language:Jupyter Notebook 0- 0
catscatscode / women-in-ml-sprint
ML sprint (OLS, KNN, scikit-learn) from Le Wagon Women in Machine Learning event.
Language:Jupyter Notebook 0dataeducator / real_estate_linear_regression
This repository contains a Phase 2 Project for the Data Science Flex Program at the Flatiron School. This project uses linear regression, pandas, numpy and exploratory data analysis using matplotlib and seaborn to predict and analyze home prices in the King County data set..
Language:Jupyter Notebook 0jycc-267 / Effects-of-COVID-19-Precautions-on-Traffic-Accidents-Taoyuan
Estimating the effect of Covid-19 Precautions on traffic accidents in Taoyuan City with Regression Discontinuity Design using Python PanelOLS model.
Language:Jupyter Notebook 0- Step-by-Step-OLS-regression
LazarosAntonios / Step-by-Step-OLS-regression
This is a simple Excel file that explains thoroughly, all the steps to a Simple Linear Regression model via the OLS method. I use basic excel commands for matrix multiplication and matrix inversion. The input data are not drown from anywhere and are used as an example for the better understanding of the procedure.
0 PatilSukanya / Assignment-05.-Multiple-Linear-Regression-Q1
Used libraries and functions as follows:
Language:Jupyter Notebook 0pd-07 / Supervised_Learning---Regression
Repository for SLR projects
Language:Jupyter Notebook 0Sonaxy / Online-retail-sales-prediction
Prediction of how much sales revenue expected from each customer with the website traffic data acquired from an online retailer that provides information on customer’s website visit behavior
0srushtii-m / Productivity-Prediction-in-R
Estimate factors associated with the productivity of garment manufacturing workers and perform regression analysis
0akash2262 / P6-heteroskedasticity-checking
Here I have checked and removed for heteroskedasticity .
Language:Jupyter Notebookashishyadav24092000 / InteractionVars_Regression
In this notebook we would be learning how to check that whether there is intercacion between two dependent variables or not. After that we would consider or add that interaction variable into our regression model and will monitor the changes in the parametrs.
Language:Jupyter NotebookBiaBischoff / Capstone-Project
This is my final project for my master's degree in Data Analytics
Bwhiz / MLSA-Intro-to-ML-Session
This repo contains my notebook demonstrating Ordinary Least Square Regression using Microsoft Azure ML studio
Language:Jupyter NotebookI perform a retrospective analysis on the linear regression analysis that I previously performed on the NYC Bike Counts dataset. Specifically, I analyze my linear regression analysis to identify anything that I could have done differently.
Language:Jupyter NotebookI used the New York Bike Counts dataset to formulate a hypothesis about the number of bikes crossing the Brooklyn Bridge. This dataset contains the number of bikes that crossed each bridge during each day. I first used this dataset to formulate a hypothesis and then used linear regression to test if my hypothesis was correct.
Language:Jupyter Notebookmanasik29 / Prediction-model-for-predicting-Price-of-Cars
Prediction-model-for-predicting-Price-of-Cars
Language:Jupyter NotebookMarwaBrian / KingCounty-Price-Predictor
A house-price forecasting tool.
Language:Jupyter Notebookraytighe / linear_regression_speeds
A comparison of runtimes to fit OLS regression models using different Python libraries (Scikit-learn, statsmodels, Numpy matrix multiplication)
Language:Jupyter Notebooksaikrishnabudi / Simple-Linear-Regression
Data Science - Simple Linear Regression Work
Language:Jupyter Notebooksfansaria / Machine-Learning-Regression-Classification
ols_regression, Simple_Linear_Regression,univariate_Polynomial_Regression,Bayesian_Regression
Language:Jupyter Notebookvarungopithallapelly / Videogame-Consoles
Applying econometric analyses based on a videogame consoles dataset, using statistical software (Stata) and evaluate the results.
Language:Stata
