Tutorials

must read
importing & cleaning data
+2

Generating Realistic Random Datasets with Trumania

Why do data scientists and data engineers work with synthetic data? How do they obtain it? Discover Trumania, a scenario-based random dataset generator library.
must read
importing & cleaning data
+2
6
6
must read
machine learning
+3

Lyric Analysis with NLP & Machine Learning with R

Dive into the lyrics of Prince's music with R: use text mining and Exploratory Data Analysis (EDA) to shed insight on The Artist's career.
must read
machine learning
+3
53
53
must read
machine learning

Transfer Learning: Leverage Insights from Big Data

In this tutorial, you’ll see what transfer learning is, what some of its applications are and why it is critical skill as a data scientist.
must read
machine learning
27
27
must read
python
+3

Time Series Analysis Tutorial with Python

Get Google Trends data of keywords such as 'diet' and 'gym' and see how they vary over time while learning about trends and seasonality in time series data.
42
42
must read
shell

8 Useful Shell Commands For Data Science

Which shell commands do data scientists use nearly every day? Discover and learn how to use them in this tutorial!
98
98
must read
machine learning
+4

Kaggle Tutorial: Your First Machine Learning Model

Learn how to build your first machine learning model, a decision tree classifier, with the Python scikit-learn package, submit it to Kaggle and see how it performs!
63
63
must read
r programming

Five Tips to Improve Your R Code

Five useful tips that you can use to effectively improve your R code, from using seq() to create sequences to ditching which() and much more!
must read
r programming
91
91
must read
r programming
+2

Pipes in R Tutorial For Beginners

Learn more about the famous pipe operator %>% and other pipes in R, why and how you should use them and what alternatives you can consider!
60
60
must read
data manipulation
+2

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.
68
68
must read
machine learning
+4

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
+4
60
60
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
64
64
must read
python
+4

TensorFlow Tutorial For Beginners

Learn how to build a neural network and how to train, evaluate and optimize it with TensorFlow
97
97
must read
r programming
+4

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).
must read
r programming
+4
22
22
must read
python
+1

Python For Finance: Algorithmic Trading

This Python for Finance tutorial introduces you to algorithmic trading, and much more.
170
170
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.
71
71