Tutorials

machine learning
+6

Machine Learning and NLP using R: Topic Modeling and Music Classification

In this tutorial, you will build four models using Latent Dirichlet Allocation (LDA) and K-Means clustering machine learning algorithms.
35
35
python
+1

Predicting the Status of H-1B Visa Applications

Learn how you can predict the status of a H-1B visa application with Machine Learning in Python.
13
13
machine learning
+1

Decision Trees in R

Learn all about decision trees, a form of supervised learning used in a variety of ways to solve regression and classification problems.
19
19
python

The Pip Python Package Manager

Learn about Pip, a powerful tool that helps you properly manage distribution packages in Python.
15
15
must read
pandas
+2

Using Python to Power Spreadsheets in Data Science

Learn how Python can be used more effectively than Excel, with the Pandas package.
77
77
python
+1

Converting Strings to Dates as datetime Objects

Learn how to convert strings to datetime objects in Python and why doing so has become standard practice for working data scientists today.
22
22
must read
neural networks
+2

TensorBoard Tutorial

Visualize the training parameters, metrics, hyperparameters or any statistics of your neural network with TensorBoard!
must read
neural networks
+2
20
20
python

Installing Anaconda on Mac OS X

This tutorial will demonstrate how you can install Anaconda, a powerful package manager, on your Mac.
12
12
jupyter

Custom Templates for Jupyter Notebooks with Jinja2

Learn how to create custom export templates for your Jupyter Notebooks using Jinja2.
13
13
python

Python Sets and Set Theory

Learn about Python sets: what they are, how to create them, when to use them, built-in functions, and their relationship to set theory operations.
24
24
must read
spark
+1

How to Install and Use Homebrew

Discover Homebrew for data science: learn how you can use this package manager to install, update, and remove technologies such as Apache Spark and Graphviz.
12
12
data manipulation
+1

Handling Categorical Data in Python

Learn the common tricks to handle categorical data and preprocess it to build machine learning models!
25
25
must read
tidyverse
+1

How to install R on Windows, Mac OS X and Ubuntu

This is a beginner guide that is designed to save yourself a headache and valuable time if you decide to install R yourself.
9
9
python

Understanding Random Forests Classifiers in Python

Learn about Random Forests and build your own model in Python, for both classification and regression.
28
28
must read
pandas
+1

Pandas Tutorial: Importing Data with read_csv()

Importing data is the first step in any data science project. Learn why today's data scientists prefer pandas' read_csv() function to do this.
35
35