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Source code examples for the Second Edition of the Scala Cookbook
Causal Inference for the Brave and True. A light-hearted yet rigorous approach to learning about impact estimation and causality.
Streamlit — A faster way to build and share data apps.
📅 Create a fully customizable, interactive timelines and 2d-graphs with items and ranges.
Create a draggable and resizable dashboard in Streamlit, featuring Material UI widgets, Monaco editor (Visual Studio Code), Nivo charts, and more!
Streamlit component for rendering vis.js timeline
⛏⚽ Scrape soccer data from Club Elo, ESPN, FBref, FiveThirtyEight, Football-Data.co.uk, FotMob, Sofascore, SoFIFA, Understat and WhoScored.
PyScript is an open source platform for Python in the browser. Try PyScript: https://pyscript.com Examples: https://tinyurl.com/pyscript-examples Community: https://discord.gg/HxvBtukrg2
ZazHRM - A Bluetooth heart rate monitoring system for sleep time.
Códigos Python com diferentes aplicações como técnicas de machine learning e deep learning, fundamentos de estatística, problemas de regressão de classificação. Os vídeos com as explicações teórica…
Code samples for AI fundamentals
A collection of questions and solutions to problems presented at Rasmus Bååth's Bayesian probabilities workshop.
Apps criados durante cursos, bootcamps ou por conta própria.
Minhas soluções de problemas de programação de competições ou online judges
Apache Spark - A unified analytics engine for large-scale data processing
Guia rápido de estudo Visão computacional e processamento de imagens.
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
jvitorcosta / handson-ml2
Forked from ageron/handson-ml2A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
⚡ A Fast, Extensible Progress Bar for Python and CLI
Repository to show various EDA scripts and notebooks to apply for future use.
Scripts/Notebooks used for my articles published on Medium
Practical Full-Stack Machine Learning
Practice and tutorial-style notebooks covering wide variety of machine learning techniques
Resolução dos desafios de C Sharp, Java, JavaScript, Kotlin e Ruby da Digital Innovation One. 📚