Data Science Rush
Published in

Data Science Rush

Data Science, a Practical Guide

List of sources and tools for data processing and data extraction

Let’s have a quick overview of what the requirements of being a Data Scientist are. Not everything is needed on this list — to be honest, you’ll be perfectly fine just with Python for most of the time — but it’s definitely good to know about those tools and their capabilities, so you’ll know what to use when the time comes.

Tools for Data Science and Machine Learning

--

--

--

Data Science, Machine Learning, Data Analytics: books, courses, tutorials.

Recommended from Medium

Sentiment Analysis of Tweets using Tweepy

Presentation of : The Computational Complexity of Motion Planning

Deep Reinforcement Learning With Python | Part 2 | Creating & Training The RL Agent Using Deep Q…

Data Structure Part 3

Understanding how the perceptron really works

The Most Powerful Superheroes of 2020 AI

Expected Value: The True Currency of Life

Association Rule Mining

Get the Medium app

A button that says 'Download on the App Store', and if clicked it will lead you to the iOS App store
A button that says 'Get it on, Google Play', and if clicked it will lead you to the Google Play store
Przemek Chojecki

Przemek Chojecki

AI + web3 builder, PhD in mathematics, Forbes 30 under 30, former Oxford fellow.

More from Medium

A Data Scientist’s Journey From Novice to Decent — Part 2

Fastest way to become a self-trained Data Scientist

Statistics for Data Science

Best Data Science Certificates