Data Science Tutorials
Develop your data science skills with tutorials in our blog. We cover everything from intricate data visualizations in Tableau to version control features in Git.
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GIT SETUP: The Definitive Guide
In this tutorial, you'll learn how to set up Git on your computer in different operating systems.
Olivia Smith
December 12, 2018
Introduction to H2O AutoML
In this tutorial, you will learn about H2O and have a glimpse of its autoML functionality.
Nishant Singh
December 11, 2018
Stocks, Significance Testing & p-Hacking
Learn how to manipulate time series data with pandas and conduct significance testing through simulation using Python, to analyze stock market volatility.
Patrick David
December 11, 2018
Introduction to Python Metaclasses
In this tutorial, learn what metaclasses are, how to implement them in Python, and how to create custom ones.
Derrick Mwiti
December 10, 2018
Shareable Data Science with Kyso
In this tutorial, you’ll learn how to create publishable and reproducible data science studies on Kyso’s platform, using interactive plotly visualizations.
Kyle O'Shea
December 5, 2018
Naive Bayes Classification Tutorial using Scikit-learn
Learn how to build and evaluate a Naive Bayes Classifier using Python's Scikit-learn package.
Abid Ali Awan
Avinash Navlani
March 3, 2023
Introduction to Reinforcement Learning
In this tutorial, you'll learn the basic concepts and terminologies of reinforcement learning. At the end of the tutorial, we'll discuss the epsilon-greedy algorithm for applying reinforcement learning based solutions.
Anubhav Singh
November 30, 2018
Working with Zip Files in Python
In this tutorial, you are going to learn how to work with Zip Files in Python using the zipfile module. zipfile is a Python built-in module.
Hafeezul Kareem Shaik
November 29, 2018
Automated Machine Learning with Auto-Keras
Learn about automated machine learning and how it can be done with auto-keras.
Sayak Paul
November 28, 2018
Introduction to Machine Learning in Python
In this tutorial, you will be introduced to the world of Machine Learning (ML) with Python. To understand ML practically, you will be using a well-known machine learning algorithm called K-Nearest Neighbor (KNN) with Python.
Aditya Sharma
November 27, 2018
Comparison of BI and Analytics Platforms
In this tutorial, you will learn about different factors that are taken
into consideration before choosing your Analytics Platform both at the
organization and individual level.
Nishant Singh
November 26, 2018
Overview of Atom IDE
In this tutorial, you'll learn the importance of IDEs, how to set-up Atom, and download packages.
Sejal Jaiswal
November 21, 2018