In this tutorial to deep learning in R with RStudio's keras package, you'll learn how to build a Multi-Layer Perceptron (MLP).
Discover how to create a data frame in R, change column and row names, access values, attach data frames, apply functions and much more.
An easy-to-follow scikit-learn tutorial that will help you to get started with the Python machine learning.
A list of Python resources for the eight statistics topics that you need to know to excel in data science
This tutorial explains how to install, run, and use Jupyter Notebooks for data science, including tips, best practices, and examples.
A Pandas tutorial that covers the top 11 questions that users have about DataFrames in Python
Start your data science journey now and follow these 8 steps to learn data science.
This handy one-page reference presents the Python basics that you need to do data science
A tutorial on loops in R that looks at the constructs available in R for looping. Discover alternatives using R's vectorization feature.
Data science resources you haven't considered (yet) - The best projects, tutorials, talks, podcasts, webinars, books, and much more to lea…
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