Portfolio of statistics models, inferential statistics and different topics usign R and python.

🏠 This repository contains data analysis scripts for the 2022 American Community Survey (ACS) focusing on individuals aged 25 and over in North Carolina, based on 75,340 observations. This repository offers valuable insights into demographic and economic patterns across North Carolina's urban areas.

Spotify API data connection and analysis

Resampling-Based Hypothesis Testing for Python

Hypothesis Testing allows professionals to test their theories and assumptions before putting them into action. This Repository includes all the Hypothesis test to validate a statement using Empirical data .

Grammars suitable for lark parser and Hypothesis

Uso de Python para realizar testes de T-student em uma análise estatística. Parte de um projeto da cadeira de Estatística e Probabilidade para Computação, da graduação em Sistemas de Informação (SI) do Centro de Informática (CIn) da Universidade Federal de Pernambuco (UFPE), cadeira cursada por mim em 2023.

Trying out the hypothesis library for property-based testing

Exploring and analyzing the dataset to draw meaningful insights. Conducted hypothesis testing, resolved data anomalies, and crafted a predictive model using KNN Classifier. Addressed key questions, such as demographic-based variations in loan status and predicting loan-to-value ratios. Ensured data integrity for informed decision-making.

Analysis and Hypothesis Testing of Spotify Songs Dataset

Analysis and Hypothesis Testing of Advanced House Prices Dataset

Enabling easy statistical significance testing for deep neural networks.

Codes in paper "A Multivariate Robust Test for Genetic Pleiotropy".

Nonparametric test and R code

Performing hypothesis tests to determine if the adverse effects of a pharmaceutical drug are significant.

R notebooks with code and explanations for various statistical analyses.

How to Use Hypothesis and Pytest for Robust Property-Based Testing in Python

This repository contains my Inferential Statistics project completed during my university course. It includes the dataset, R code, and detailed analysis showcasing the comparison of climbing route grades for men and women. The project highlights my skills in data visualization, statistical analysis, and hypothesis testing.

Hypothesis testing with UW Madison grades. Project formed from https://www.kaggle.com/Madgrades/uw-madison-courses