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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Data Frames in R
This tutorial takes course material from DataCamp's Introduction to R for Finance course and allows you to practice Data Frames.
Ryan Sheehy
October 15, 2018
Introduction to Cyclical Learning Rates
Learn what cyclical learning rate policy is and how it can improve the training of a neural network.
Facets for ggplot2 in R
In this tutorial, you'll learn how to make the most of ggplots facetting functions.
DataCamp Team
October 12, 2018
Machine Learning with Black Friday Dataset Tutorial
In this tutorial, you will gain knowledge on filling null values, preprocessing data, reducing dimensionality using PCA, and split data using K-Fold.
Using PostgreSQL in Python
In this tutorial, you will be learning about the database in Python, with a few examples in PostgreSQL Database.
Samip Katwal
October 10, 2018
Bootstrap in R Tutorial
In this tutorial, you will learn how to use the boot package to obtain different types of bootstrapped confidence intervals.
Latent Semantic Analysis using Python
In this tutorial, you will learn how to discover the hidden topics from given documents using Latent Semantic Analysis in python.
Avinash Navlani
October 9, 2018
Subsetting Datasets in R
Subsetting datasets is a crucial skill for any data professional. Learn and practice subsetting data in this quick interactive tutorial!
Contingency Analysis using R
In this tutorial, you'll learn with the help of an example how "Contingency Analysis" or "Chi-square test of independence" works and also how efficiently we can perform it using R.
Diving Deep with Imbalanced Data
Learn the techniques to deal with an imbalanced dataset.
Social Network Analysis in Python
Networks today are part of our everyday life. Let's learn how to visualize and understand a social network in Python using Networks.
Using Regular Expressions to Clean Strings
This tutorial takes course material from DataCamp's Cleaning Data in Python course and allows you to clean strings using regular expressions.
Ryan Sheehy
September 28, 2018