A repository created to explore and understand Statistics through coding.

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Observe the effect of Hubble’s Law in Python using OLS Regression, Pairs Bootstrap Resampling, and Hypothesis Testing.

Just a place to play around with stats

Monte Carlo Study of OLS Asymptotics carried out in Stata

This case study is for the analysis of viewers of a particular show, so that more viewers can be indulged in the show.

Used libraries and functions as follows:

Econometric study examining how COVID-19 reshaped higher education decisions across U.S. regions using OLS regression on 318,372 observations from the U.S. Census Bureau Household Pulse Survey.

Project for the Machine Learning II 2022/23 class at the Faculty of Economic Sciences, University of Warsaw. I was responsible for the housing price prediction task for which I build OLS, random forests, XGBoost and neural networks regression models.

Conjunto de modelos de Inteligência Artificial implementados para a disciplina de IA do sexto semestre do curso de CC da Unifor (2023.2)

LGES-WBS-Template-Duration-Analysis

Multiple-Linear-Regression-1. Consider only the below columns and prepare a prediction model for predicting Price of Toyota Corolla.p

classicsml ⛈️🔄📉 : Classsic Supervised ML # Cost Function # Gradient Descent

predicting fragility of stock markets

Code and visualization utilized for my doctoral dissertation on the effects of Caribbean migration in Houston's residential inequality.

Applied econometrics in R: OLS, Probit & DiD (panel data) to estimate the impact of sales meetings on savings.

Geodesy gnumeric OLS spreadsheets

Penn ESE 305 Final Project using Machine Learning Techniques