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Adding Flow Control to Apache Pig using Python

So you like Pig but its cramping your style? Are you not sure what Pig is about? Are you keen to write some code to write code for you? If yes, then this is for you.
Adding Flow Control to Apache Pig using Python

Spark & Python: Working with RDDs (II)

This is a Spark and Python tutorial that teaches you how to work with RDDs (Part II).

Data Science with Python & R: Dimensionality Reduction and Clustering

An important step in data analysis is data exploration and representation. In this tutorial we will see how by combining a technique called Principal Component Analysis (PCA) together with Cluster, we can represent in a two-dimensional space data defined in a higher dimensional one while, at the same time, be able to group this data in similar groups or clusters and find hidden relationships in our data.
Data Science with Python & R: Dimensionality Reduction and Clustering

Data Science with Python & R: Sentiment Classification Using Linear Methods

In this tutorial, you'll learn how to create sentiment classification using linear methods with Python and R
Data Science with Python & R: Sentiment Classification Using Linear Methods

Spark & R: Downloading data and Starting with SparkR using Jupyter notebooks

In this tutorial we will use the 2013 American Community Survey dataset and start up a SparkR cluster using IPython/Jupyter notebooks.
Spark & R: Downloading data and Starting with SparkR using Jupyter notebooks

Building Data Products with Python: A Wine Review Website using Django and Bootstrap

With this tutorial, we start a series of tutorials about how to build data products with Python. As a leitmotif we want to build a web-based wine reviews and recommendations website using Python technologies such as Django and Pandas. We have chosen to build a wine reviews and recommendations website, but the concepts and the technology stack...
Building Data Products with Python: A Wine Review Website using Django and Bootstrap

Building Data Products with Python: Adding User Management to a Django website

This is the second tutorial on our series on how to build data products with Python. In this second tutorial, we will add user management. This is an important part. Once we are able to identify individual users, we will be ready to generate user recommendations through machine learning.
Building Data Products with Python: Adding User Management to a Django website

Building Data Products with Python: Using Machine Learning to Provide Recommendations

This is the third part of our tutorial on how to build a web-based wine review and recommendation system using Python technologies such as Django, Pandas, SciPy, and Scikit-learn. In this part, you will learn how to use machine-learning to recommend users wines based on their preferences.
Building Data Products with Python: Using Machine Learning to Provide Recommendations

Cheat Sheet: Python For Data Science

The cheat sheet is a handy addition to your learning, as it covers the basics, brought together in seven topics, that any beginner needs to know to get started doing data science with Python.
Cheat Sheet: Python For Data Science

Basic Pandas

Demo how to use pandas to do basic data analysis
Basic Pandas

UC Berkeley Machine Learning Crash Course: Part 1

Learn all the basics of machine learning — regression, cost functions, and gradient descent. This is the first article in Machine Learning at Berkeley's Crash Course series.
UC Berkeley Machine Learning Crash Course: Part 1

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