A repository created to explore and understand Statistics through coding.

Just a place to play around with stats

Print-friendly, minimalist CV page

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:

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

Penn ESE 305 Final Project using Machine Learning Techniques

Analysis of heatstroke Deaths in 1881, using modern statistics

You can find a fictive business case for a linear regression

Using OLS regression (and Ridge and Lasso to compare), we worked on a project that uses a dataset to predict housing prices based on user inputs on house details.

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

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

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

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

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.

Diagnostic tools for regression modeling.

A linear regression implementation

Hot City, Heated Calls: Understanding How Urban Features Affect Quality of Life Under Different Heat Conditions Using New York City's 311 and SHAP