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Jose A Dianes
Data Analytics & Visualisation - SW Engineer PhD - data.jadianes.com
Building a Movie Recommendation Service with Apache Spark & Flask - Part 2
This Apache Spark tutorial goes into detail on how to use Spark machine learning models, or even another kind of data analytics objects, within a web service. By using the Python language, we make this task very easy, thanks to Spark own Python capabilities and to Python-based frameworks such as Flask.
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.
Spark & R: data frame operations with SparkR
In this third tutorial (see the previous one) we will introduce more advanced concepts about SparkSQL with R that you can find in the SparkR documentation, applied to the 2013 American Community Survey housing data. These concepts are related with data frame manipulation, including data slicing, summary statistics, and aggregations.