This Keras tutorial introduces you to deep learning in Python: learn o preprocess your data, model, evaluate and optimize neural networks.
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…
Discover how to create a list in Python, select list elements, the difference between append() and extend(), why to use NumPy and much more.
Recreate your own news trends feature in R, mining Pokémon GO data from Google News Trends and Yahoo Finance.
Build a better R culture at your company with an internal meetup!
In two previous posts, I explored the role of preprocessing data in the machine learning pipeline. In particular, I checked out the k-Near…
Once again, we'll explore the wine quality dataset. I'll introduce linear regression, logistic regression and then use the latter to predi…
In this article, I'll use the example of scaling numerical data to explain the importance of preprocessing in the machine learning (ML) pi…
In this tutorial, you'll learn about the use of the apply functions in R, its variants, and a few of its relatives applied to different da…
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