An excerpt from Julia for Data Analysis by Bogumil Kaminski
This article dives into working with data in dataframes with Julia.
Read it if you’re a data scientist or anyone who works with lots of data, and if you’re interested in the Julia language.
An excerpt from Julia for Data Analysis by Bogumil Kaminski
Many languages designed for doing data science provide ways to perform vectorized operations, which is also often called broadcasting. In Julia, broadcasting is also supported. In this article you will see how to use it.
Read it if you’re a data scientist or anyone who works with lots of data, and if you’re interested in the Julia language.
An excerpt from Julia for Data Analysis by Bogumil Kaminski
This article shows you how to use Multiple Dispatch in Julia.
Read it if you’re a data scientist or anyone who works with lots of data, and if you’re interested in the Julia language.
From Data Analysis with Python and PySpark by Jonathan Rioux
This chapter covers using transformer and estimators to prepare data into ML features.
From Data Analysis with Python and PySpark by Jonathan Rioux
This article covers
· Using pandas Series UDF to accelerate column transformation compared to Python UDF.
· Addressing the cold start of some UDF using Iterator of Series UDF.
From Data Analysis with Python and PySpark by Jonathan Rioux
This article covers
· Using pandas Series UDF to accelerate column transformation compared to Python UDF.
· Addressing the cold start of some UDF using Iterator of Series UDF.
From Data Analysis with Python and PySpark by Jonathan Rioux
This article covers window functions and the kind of data transformation they enable.
Hefin I. Rhys teaches you how to train, tune, and cross-validate a Support Vector Machine model using RStudio and the awesome mlr machine learning package.
From R in Action, Third Edition by Robert Kabacoff
This article dicusses graphs and graphic using the ggplot2 package
Chapters selected by Hefin Ioan Rhys