must read
neural networks
+2

TensorBoard Tutorial

Visualize the training parameters, metrics, hyperparameters or any statistics of your neural network with TensorBoard!
must read
neural networks
+2
31
31
python

Installing Anaconda on Mac OS X

This tutorial will demonstrate how you can install Anaconda, a powerful package manager, on your Mac.
19
19
jupyter

Custom Templates for Jupyter Notebooks with Jinja2

Learn how to create custom export templates for your Jupyter Notebooks using Jinja2.
17
17
python

Python Sets and Set Theory

Learn about Python sets: what they are, how to create them, when to use them, built-in functions, and their relationship to set theory operations.
32
32
must read
spark
+1

How to Install and Use Homebrew

Discover Homebrew for data science: learn how you can use this package manager to install, update, and remove technologies such as Apache Spark and Graphviz.
15
15
data manipulation
+1

Handling Categorical Data in Python

Learn the common tricks to handle categorical data and preprocess it to build machine learning models!
72
72
must read
tidyverse
+1

How to install R on Windows, Mac OS X and Ubuntu

This is a beginner guide that is designed to save yourself a headache and valuable time if you decide to install R yourself.
22
22
python

Understanding Random Forests Classifiers in Python

Learn about Random Forests and build your own model in Python, for both classification and regression.
45
45
must read
pandas
+1

Pandas Tutorial: Importing Data with read_csv()

Importing data is the first step in any data science project. Learn why today's data scientists prefer pandas' read_csv() function to do this.
54
54
deep learning
+2

Demystifying Generative Adversarial Nets (GANs)

Learn what Generative Adversarial Networks are without going into the details of the math and code a simple GAN that can create digits!
45
45
r programming
+1

Long to Wide Data in R

Learn why you would transform your data from a long to a wide format and vice versa and explore how to do this in R with melt() and dcast()!
24
24
deep learning
+2

Stock Market Predictions with LSTM in Python

Discover Long Short-Term Memory (LSTM) networks in Python and how you can use them to make stock market predictions!
102
102
must read
python
+1

Markov Chains in Python: Beginner Tutorial

Learn about Markov Chains, their properties, transition matrices, and implement one yourself in Python!
83
83
must read
statistical modeling
+1

Survival Analysis in R For Beginners

In this tutorial, you'll learn about the statistical concepts behind survival analysis and you'll implement a real-world application of these methods in R.
must read
statistical modeling
+1
92
92
statistical modeling
+1

GFLASSO: Graph-Guided Fused LASSO in R

Explore graph-structured multi-task regression with the GFLASSO R package with this tutorial!
9
9