Introduction to statistics featuring Python. This series of lecture notes aim to walk you through all basic concepts of statistics, such as descriptive statistics, parameter estimations, hypothesis testing, ANOVA and etc. All codes are straightforward to understand.

This repository contains exercises on statistical analysis and probability calculations. Each question is answered with detailed explanations, covering topics like data types, probability distributions, expected values, descriptive statistics, skewness, kurtosis, confidence intervals, & hypothesis test

Welcome to the repository for the Indian Startup Funding Analysis project. This data analysis project was commissioned by a newly funded Indian startup. Our primary goal is to provide valuable insights and actionable recommendations that will help optimize fund allocation, enhance operational efficiency, and drive sustainable growth.

Materiales de las clases prácticas de AID y Aprendizaje Automático

Sub-package of spatstat providing functions for exploratory and nonparametric data analysis

A light-weight, flexible, and expressive statistical data testing library

Statsmodels: statistical modeling and econometrics in Python

Code for the paper "Two-Sample Test with Copula Entropy"

Skills: Excel, SQL, Tableau

Hypothesis tests for Julia

Variable Selection with Knockoffs

Data Cleaning, Feature Engineering, Data Analysis exploring the relationship between 2022 U.S. Senate elections results and economic parameters.

A Julia package for generating timeseries surrogates

A Modern Python Package Template

Differential Expression Analysis tool box R lang package for omics data

A modern Fortran statistical library.

Methods for computational information geometry

To understand and process the data coming out of data engineering pipelines: Clean, sanitize and manipulate data to get useful features out of raw fields