Tutorials

must read
data manipulation
+1

Groupby, split-apply-combine and pandas

In this tutorial, you'll learn how to use the pandas groupby operation, which draws from the well-known split-apply-combine strategy, on Netflix movie data.
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36
must read
machine learning
+2

Detecting Fake News with Scikit-Learn

This scikit-learn tutorial will walk you through building a fake news classifier with the help of Bayesian models.
must read
machine learning
+2
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30
must read
data manipulation
+1

SQL Tutorial: How To Write Better Queries

Learn about anti-patterns, execution plans, time complexity, query tuning, and optimization in SQL.
must read
data manipulation
+1
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23
must read
python
+1

TensorFlow Tutorial For Beginners

Learn how to build a neural network and how to train, evaluate and optimize it with TensorFlow
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28
must read
python
+1

Python For Finance: Algorithmic Trading

This Python for Finance tutorial introduces you to algorithmic trading, and much more.
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36
must read
python
+1

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.
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17
must read
importing & cleaning data
+1

Python Excel Tutorial: The Definitive Guide

Learn how to read and import Excel files in Python, how to write data to these spreadsheets and which are the best packages to do this.
must read
importing & cleaning data
+1
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9
must read
r programming
+1

15 Easy Solutions To Your Data Frame Problems In R

Discover how to create a data frame in R, change column and row names, access values, attach data frames, apply functions and much more.
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13
must read
python
+1

Python Machine Learning: Scikit-Learn Tutorial

An easy-to-follow scikit-learn tutorial that will help you to get started with the Python machine learning.
10
10
must read
python
+1

Jupyter Notebook Tutorial: The Definitive Guide

This tutorial explains how to install, run, and use Jupyter Notebooks for data science, including tips, best practices, and examples.
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20
must read
learning data science
+1

The Data Science Industry: Who Does What (Infographic)

This infograph compares the roles of data scientists, data analysts, data architects, data engineers and more in the data science industry.
must read
learning data science
+1
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2
must read
r programming
+2

Choosing R or Python for Data Analysis? An Infographic

Wondering whether you should use R or Python for your next data analysis post? Check our infographic "Data Science Wars: R vs Python".
must read
r programming
+2
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