Data Science Tutorials

python

Django Web Development in Python

Learn about the basics of web development using Django to build blog applications that have the (CRUD) Create, Read, Update, Delete functionality.
37
37
r programming

Conditionals and Control Flow in R

Learn about relational operators for comparing R objects and logical operators for combining boolean TRUE and FALSE values. You'll also construct conditional statements.
12
12
r programming
+1

Data Types in R

Learn about data types and their importance in a programming language. More specifically, learn how to use various data types like vector, matrices, lists, and dataframes in the R programming language.
18
18
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
83
83
spreadsheets

Time Series Analysis with Spreadsheets

In this tutorial, you'll learn basic time-series concepts and basic methods for forecasting time series data using spreadsheets.
16
16
data manipulation
+1

Handling Categorical Data in Python

Learn the common tricks to handle categorical data and preprocess it to build machine learning models!
204
204
python
+1

How to Run Python Scripts

Learn how you can execute a Python script from the command line, and also how you can provide command line arguments to your script.
26
26
python

Inner Classes in Python

In this basic Python tutorial, you'll learn about why and when you should use inner classes.
18
18
python
+2

Python Functions Tutorial

A tutorial on functions in Python that covers how to write functions, how to call them, and more!
118
118
python

Beginner's Guide to Feature Selection in Python

Learn about the basics of feature selection and how to implement and investigate various feature selection techniques in Python.
64
64
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!
176
176
python
+1

Principal Component Analysis (PCA) in Python

Learn about PCA and how it can be leveraged to extract information from the data without any supervision using two popular datasets: Breast Cancer and CIFAR-10.
55
55
must read
python
+1

Markov Chains in Python: Beginner Tutorial

Learn about Markov Chains, their properties, transition matrices, and implement one yourself in Python!
133
133
python
+2

Probability Distributions in Python Tutorial

In this tutorial, you'll learn about and how to code in Python the probability distributions commonly referenced in machine learning literature.
83
83
scikit-learn
+1

Support Vector Machines with Scikit-learn

In this tutorial, you'll learn about Support Vector Machines, one of the most popular and widely used supervised machine learning algorithms.
75
75