Tutorials

python
+2

Web scraping & NLP in Python

Learn to scrape novels from the web and plot word frequency distributions; You will gain experience with Python packages requests, BeautifulSoup and nltk.
9
9
python
+1

Hierarchical indices, groupby and pandas

In this tutorial, you’ll learn about multi-indices for pandas DataFrames and how they arise naturally from groupby operations on real-world data sets.
19
19
must read
data manipulation
+1

Groupby, split-apply-combine and pandas

In this tutorial, you'll learn how to use the pandas groupby operation, which draws from the well-known split-apply-combine strategy, on Netflix movie data.
33
33
python
+1

Python Statistics and Probability Tutorial - Part 1

This Python statistics tutorial covers foundational topics in probability: combinations and permutations, dependent and independent events and expected value.
25
25
python
+1

Graph Optimization with NetworkX in Python

This NetworkX tutorial will show you how to do graph optimization in Python by solving the Chinese Postman Problem in Python.
22
22
must read
machine learning
+2

Detecting Fake News with Scikit-Learn

This scikit-learn tutorial will walk you through building a fake news classifier with the help of Bayesian models.
must read
machine learning
+2
29
29
r programming
+1

How to Make a Histogram with ggvis in R

Learn how to make a histogram with ggvis. Go from the very basics to creating interactive graphs with shiny to display distributions.
16
16
python
+1

Python Seaborn Tutorial For Beginners

This Seaborn tutorial introduces you to the basics of statistical data visualization
17
17
python

Python Functions Tutorial

A tutorial on functions in Python that covers how to write functions, how to call them, and more!
13
13
machine learning
+1

Apache Spark Tutorial: ML with PySpark

Apache Spark tutorial introduces you to big data processing, analysis and ML with PySpark.
17
17
must read
data manipulation
+1

SQL Tutorial: How To Write Better Queries

Learn about anti-patterns, execution plans, time complexity, query tuning, and optimization in SQL.
must read
data manipulation
+1
21
21
must read
python
+1

TensorFlow Tutorial For Beginners

Learn how to build a neural network and how to train, evaluate and optimize it with TensorFlow
26
26
data analysis
+1

Top 5 Python IDEs For Data Science

The best Python IDEs for data science that make data analysis and machine learning easier!
16
16
python
+1

Scikit-Learn Tutorial: Baseball Analytics Pt 2

A Scikit-Learn tutorial to using logistic regression and random forest models to predict which baseball players will be voted into the Hall of Fame
14
14
r programming
+1

The data.table R Package Cheat Sheet

The data.table cheat sheet helps you master the syntax of this R package, and helps you to do data manipulations.
13
13