Statsmodels: statistical modeling and econometrics in Python

Curso de Introducción a Machine Learning con Python

Statistical Inference via Data Science: A ModernDive into R and the Tidyverse

Una introduccion al analisis de datos con R y R Studio

Now you can get Flight ticket fare with this wonderful end to end project.

Machine Learning notebooks for refreshing concepts.

Introducing neural networks to predict stock prices

Some experiments about Machine Learning

Enhancing {ggplot2} plots with statistical analysis 📊📣

My journey to learn and grow in the domain of Machine Learning and Artificial Intelligence by performing the #100DaysofMLCode Challenge. Now supported by bright developers adding their learnings 👍

A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.

2-2000x faster ML algos, 50% less memory usage, works on all hardware - new and old.

BAyesian Model-Building Interface (Bambi) in Python.

Presentation-Ready Data Summary and Analytic Result Tables

Pyspark in Google Colab: A simple machine learning (Linear Regression) model

The repository provides usefull python scripts for ML and data analysis

🌌 The R easystats-project

This package can be used for dominance analysis or Shapley Value Regression for finding relative importance of predictors on given dataset. This library can be used for key driver analysis or marginal resource allocation models.

Time series prediction with Sequential Model and LSTM units

Implement, demonstrate, reproduce and extend the results of the Risk articles 'Differential Machine Learning' (2020) and 'PCA with a Difference' (2021) by Huge and Savine, and cover implementation details left out from the papers.