## TensorFlow Tutorial For Beginners

Learn how to build a neural network and how to train, evaluate and optimize it with TensorFlow## keras: Deep Learning in R

In this tutorial to deep learning in R with RStudio's keras package, you'll learn how to build a Multi-Layer Perceptron (MLP).data analysis

+1## Top 5 Python IDEs For Data Science

The best Python IDEs for data science that make data analysis and machine learning easier!python

+1## Scikit-Learn Tutorial: Baseball Analytics Pt 2

A Scikit-Learn tutorial to using logistic regression and random forest models to predict which baseball players will be voted into the Hall of Famer programming

+1## The data.table R Package Cheat Sheet

The data.table cheat sheet helps you master the syntax of this R package, and helps you to do data manipulations.## Python For Finance: Algorithmic Trading

This Python for Finance tutorial introduces you to algorithmic trading, and much more.python

+1## 5 Tips To Write Idiomatic Pandas Code

This tutorial covers 5 ways in which you can easily write pandorable or more idiomatic Pandas code.r programming

+1## R Packages: A Beginner's Guide

An introduction to R packages based on 11 of the most frequently asked user questions.python

+2## Scikit-Learn Tutorial: Baseball Analytics Pt 1

A 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 Python

This Keras tutorial introduces you to deep learning in Python: learn to preprocess your data, model, evaluate and optimize neural networks.data visualization

+1## Viewing 3D Volumetric Data With Matplotlib

In this Python tutorial, you'll make use of Matplotlib's event handler API to display the slices of an MRI data set.data visualization

+1## The R Graph Gallery's Top 5 Most Visited Graph Themes

A list of the 5 most popular graphs among R users and enthusiasts.data manipulation

+2## Exploratory Data Analysis of Craft Beers: Data Profiling

In this tutorial, you'll learn about exploratory data analysis (EDA) in Python, and more specifically, data profiling with pandas.python

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