数据科学教程

In this tutorial, you will gain knowledge on filling null values, preprocessing data, reducing dimensionality using PCA, and split data using K-Fold.

Discover how to create, connect to and manage PostgreSQL databases using Python’s psycopg2 package.

In this tutorial, you will learn how to discover the hidden topics from given documents using Latent Semantic Analysis in python.

In this tutorial, you will learn how to use the boot package to obtain different types of bootstrapped confidence intervals.

Subsetting datasets is a crucial skill for any data professional. Learn and practice subsetting data in this quick interactive tutorial!

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.

This tutorial takes course material from DataCamp's Cleaning Data in Python course and allows you to clean strings using regular expressions.

Learn about the basic statistics required for Data Science and Machine Learning in Python.

This tutorial takes course material from DataCamp's free Intro to R course and allows you to practice Factors.

Practice Lists in R by using course material from DataCamp's Intro to R course.

In this tutorial, you're going to learn how to implement customer segmentation using RFM(Recency, Frequency, Monetary) analysis from scratch in Python.

When you know how many times you want to repeat an action, a for loop is a good option. Master for loops with this tutorial.