Multiple-Linear-Regression-1. Consider only the below columns and prepare a prediction model for predicting Price of Toyota Corolla.
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Updated
Jun 10, 2021 - Jupyter Notebook
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 to use linear regression to examine the relationship between various economic variables and the mortgage rate in the United States.
Used libraries and functions as follows:
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 de…
Estimate the impact of OIL and USD towards CPI using least squares method using R
Here I have checked and removed for heteroskedasticity .
Applying econometric analyses based on a videogame consoles dataset, using statistical software (Stata) and evaluate the results.
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
Previsão do índice IPCA até o fim de 2025.
A comparison of runtimes to fit OLS regression models using different Python libraries (Scikit-learn, statsmodels, Numpy matrix multiplication)
A collaborative project looking into the likelihood of Covid-19 infection in the United States.
Data Science - Simple Linear Regression Work
ML sprint (OLS, KNN, scikit-learn) from Le Wagon Women in Machine Learning event.
Análise dos dados do Campeonato Brasileiro no atual formato.
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.
This repo contains my notebook demonstrating Ordinary Least Square Regression using Microsoft Azure ML studio
Detailed implementation of various regression analysis models and concepts on real dataset.
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.
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