must read
python
+2

Convolutional Neural Networks with TensorFlow

In this tutorial, you'll learn how to construct and implement Convolutional Neural Networks (CNNs) in Python with the TensorFlow framework.
10
10
must read
data manipulation
+3

Python Excel Tutorial: The Definitive Guide

Learn how to read and import Excel files in Python, write data to these spreadsheets, and find the best packages to do this.
must read
data manipulation
+3
18
18
must read
python

Scope of Variables in Python

Learn what variable scopes are all about and get familiar with the 'LEGB' rule. You will also deal with scenarios where you'll get to see the global and nonlocal keywords in action.
12
12
must read
python
+1

Docstrings in Python

Learn about the different types of docstrings and various docstring formats like Sphinx, Numpy and Pydoc.
27
27
must read
r programming

Definitive Guide: Variables in R

In this tutorial, you'll learn all about R variables including how to define variables, remove variables, and much more.
must read
r programming
12
12
must read
r programming
+3

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.
24
24
must read
python

Python Print() Function

Learn how you can leverage the capability of a simple Python Print function in various ways with the help of examples.
13
13
must read
learning data science
+5

Choosing Python or R for Data Analysis? An Infographic

Wondering whether you should use Python or R for data analysis? You’ve come to the right place.
must read
learning data science
+5
52
52
must read
python
+1

Markov Chains in Python: Beginner Tutorial

Learn about Markov Chains, their properties, transition matrices, and implement one yourself in Python!
117
117
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
126
126
must read
python

Understanding Logistic Regression in Python

Learn about Logistic Regression, its basic properties, and build a machine learning model on a real-world application in Python.
85
85
must read
python
+4

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.
293
293
must read
tensorflow
+1

Using TensorFlow 2.0 to Compose Music

In this tutorial, you will learn how to train generative models to compose music in TensorFlow 2.0.
30
30
must read
python
+1

Python For Finance: Algorithmic Trading

This Python for Finance tutorial introduces you to algorithmic trading, and much more.
653
653