There are 1 repository under ols-regression-model topic.
Detailed implementation of various regression analysis models and concepts on real dataset.
Stock market prediction on 5 italian companies using VAR model, OLS regressions and LSTM recurrent neural networks over data retrieved from Refinitiv Eikon
Multiple-Linear-Regression-1. Consider only the below columns and prepare a prediction model for predicting Price of Toyota Corolla.
MITx - MicroMasters Program on Statistics and Data Science - Data Analysis: Statistical Modeling and Computation in Applications - First Project
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.
Estimate the impact of OIL and USD towards CPI using least squares method using R
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.
For a real estate firm, building a house price prediction model based upon various factors. Problem - Regression | Algorithm used -Linear Regression using OLS
A collaborative project looking into the likelihood of Covid-19 infection in the United States.
This project is about to use linear regression to examine the relationship between various economic variables and the mortgage rate in the United States.
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.
Simple Linear Regression using Ordinary Least Squares
This is my final project for my master's degree in Data Analytics
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..
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.
Análise dos dados do Campeonato Brasileiro no atual formato.
Previsão da cotação do dólar até o fim de 2024.
Avaliação sobre o ano mais efetivo do Flamengo na Libertadores desde 2019.
PrevisĂŁo do Ăndice IPCA atĂ© o fim de 2025.
Comparação entre a porcentagem de vitórias e a expectativa pitagórica na NBA.
Used libraries and functions as follows:
Multiple-Linear-Regression-1. Consider only the below columns and prepare a prediction model for predicting Price of Toyota Corolla.p
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
Estimate factors associated with the productivity of garment manufacturing workers and perform regression analysis
Applying econometric analyses based on a videogame consoles dataset, using statistical software (Stata) and evaluate the results.
Linear Regression Bike sharing Assignment
Here I have checked and removed for heteroskedasticity .
This repo contains my notebook demonstrating Ordinary Least Square Regression using Microsoft Azure ML studio
I 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.
Prediction-model-for-predicting-Price-of-Cars
A house-price forecasting tool.
Data Science - Simple Linear Regression Work
ols_regression, Simple_Linear_Regression,univariate_Polynomial_Regression,Bayesian_Regression