Data science is an inter-disciplinary field that uses scientific methods, processes, algorithms, and systems to extract knowledge from structured and unstructured data. Data scientists perform data analysis and preparation, and their findings inform high-level decisions in many organizations.
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
A booklet on machine learning systems design with exercises. NOT the repo for the book "Designing Machine Learning Systems", which is `dmls-book`
Data science interview questions and answers
⚡ Hugo Blox: Markdown sites in minutes. Academic/resume/lab/portfolio for AI researchers & startups. Premium templates. Deploy to GitHub Pages now in 1-click 👇
🏅 Collection of Kaggle Solutions and Ideas 🏅
🌎 machine learning tutorials (mainly in Python3)
Data Science Repo and blog for John Hopkins Coursera Courses. Please let me know if you have any questions.
The purpose of this project is to share knowledge on how awesome Streamlit is and can be
A searchable compilation of Kaggle past solutions
Free R-Tips is a FREE Newsletter provided by Business Science. It comes with bite-sized code tutorials every week.
Statistical Inference via Data Science: A ModernDive into R and the Tidyverse
OpenDS4All project, hosted by LF AI & Data
Slides, paper notes, class notes, blog posts, and research on ML 📉, statistics 📊, and AI 🤖.
Extração de dados da API do CartolaFC, análise exploratória dos dados e modelos preditivos em R e Python - 2014-22. [EN] Data munging, analysis and modeling of CartolaFC - the most popular fantasy football game in Brazil. Data cover years 2014-23.
This repository contains the code to generate predictions of critical violations at food establishments in Chicago. It also contains the results of an evaluation of the effectiveness of those predictions.
The best resources around Machine Learning
El curso en español, de acceso abierto y gratuito más grande del mundo sobre Ciencia de Datos en salud.
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