TensorFlow Tutorial For BeginnersLearn how to build a neural network and how to train, evaluate and optimize it with TensorFlow
keras: Deep Learning in RIn this tutorial to deep learning in R with RStudio's keras package, you'll learn how to build a Multi-Layer Perceptron (MLP).
Top 5 Python IDEs For Data ScienceThe best Python IDEs for data science that make data analysis and machine learning easier!
Scikit-Learn Tutorial: Baseball Analytics Pt 2A Scikit-Learn tutorial to using logistic regression and random forest models to predict which baseball players will be voted into the Hall of Fame
The data.table R Package Cheat SheetThe data.table cheat sheet helps you master the syntax of this R package, and helps you to do data manipulations.
Python For Finance: Algorithmic TradingThis Python for Finance tutorial introduces you to algorithmic trading, and much more.
5 Tips To Write Idiomatic Pandas CodeThis tutorial covers 5 ways in which you can easily write pandorable or more idiomatic Pandas code.
R Packages: A Beginner's GuideAn introduction to R packages based on 11 of the most frequently asked user questions.
Scikit-Learn Tutorial: Baseball Analytics Pt 1A scikit-learn tutorial to predicting MLB wins per season by modeling data to KMeans clustering model and linear regression models.
Keras Tutorial: Deep Learning in PythonThis Keras tutorial introduces you to deep learning in Python: learn to preprocess your data, model, evaluate and optimize neural networks.
Viewing 3D Volumetric Data With MatplotlibIn this Python tutorial, you'll make use of Matplotlib's event handler API to display the slices of an MRI data set.
The R Graph Gallery's Top 5 Most Visited Graph ThemesA list of the 5 most popular graphs among R users and enthusiasts.