Free Programming Tutorials for Data Science and Web Development

Free programming tutorials for data science, machine learning, and web development, organized by topic.

Looking for more? The Machine Learning Compendium is a book that covers every data science and machine learning topic.

Machine Learning and Data Science Tutorials

• Introduction: What is machine learning?
• “To all you that are trying to tell people they can become professionals in just a few weeks JUST to sell your product – shame on you!”
• Path to Mastering Artificial Intelligence for Business Applications 
• Linear Regression
• Multiple Linear Regression
• Linear Programming for Linear Regression
• Bayes Classifier and Naive Bayes Tutorial
• Tutorial: K-Nearest Neighbor classifier for MNIST
• K-Means Clustering
• Principal Components Analysis (PCA)
• Principal Components Analysis in Theano
• Intel Extension for Scikit-Learn
• Should you study the theory behind machine learning?
• All Data is the Same
• t-SNE in the wild: Scientists have captured the elusive cell that can regenerate an entire flatworm
• Linear Regression in the Wild – AV1: Next Generation Video Codec
• Tutorial on Collaborative Filtering and Matrix Factorization in Python

 

Deep Learning Tutorials

• Tensorflow 2 One Year Later: What do I think now? (+PyTorch, JAX, Julia)
• Data Science Interview Questions: Why “Logits” in Deep Learning Cross-Entropy Loss?
• How to setup NVIDIA GPU laptop with Ubuntu for Deep Learning (CUDA and CuDNN)
• Neural Ordinary Differential Equations (Neural ODE)
• Deep Learning: The Swish Activation Function
• Deep Learning Tutorial part 1/3: Logistic Regression
• Deep Learning Tutorial part 2/3: Artificial Neural Networks
• Deep Learning Tutorial part 3/3: Deep Belief Networks
• A Tutorial on Autoencoders

 

Reinforcement Learning Tutorials

• Path to mastering Reinforcement Learning with Deep Learning
• Monte Carlo with Importance Sampling for Reinforcement Learning
• Bayesian Bandit Tutorial
• What is the Replay Buffer in DQN (Deep Q-Learning)?
• Reinforcement Learning Algorithms: Expected SARSA  
• What is the difference between epsilon-greedy and epsilon-soft policies?

 

Natural Language Processing (NLP) Tutorials

• Path to mastering Natural Language Processing (NLP) with Deep Learning  
• FREE Exercise: Predict Stocks with News, + Other ML News
• List of Hugging Face Pipelines for NLP
• Probability Smoothing for Natural Language Processing

 

 

Computer Vision Tutorials

• Path to Mastering Computer Vision with Deep Learning

 

 

Time Series Analysis and Financial Analysis Tutorials

• Predicting Stock Prices with Facebook Prophet
• Convert a Time Series Into an Image with Gramian Angular Fields and Markov Transition Fields
• Why you shouldn’t use prices as inputs to predict stock prices in machine learning (YouTube Episode 20)
• Become a Millionaire by Taking my Financial Engineering Course
• Machine Learning in Finance by Dixon, Halperin, Bilokon – A Critique
• Using Granger Causality to Determine Whether Twitter Sentiment Predicts Bitcoin Price Movement
• Mistakes in Stock Prediction: Trying to Predict the Price
• Time Series: How to convert AR(p) to VAR(1) and VAR(p) to VAR(1)
• Data Science Interview Questions: Random Walk Hypothesis and Stock Price Prediction

 

Statistics Tutorials

• Bayesian Bandit Tutorial
• Covariance Matrix: Divide by N or N-1?

 

Math for Machine Learning Tutorials

• Build your own Computer Science Degree
• “What maths are critical to pursuing ML/AI?”
• What Level of Probability for Machine Learning?
• Why do you need math for machine learning and deep learning?
• Machine Learning: College Student vs. Industry Professional? Academic Study vs. Business Impact?

 

 

Python Programming Tutorials

• Coding Interview Questions – Bioinformatics Rosalind.info – Finding a motif in DNA (Episode 18)
• LeetCode in Machine Learning and Data Science (Episode 17)
• Why bad programmers always need the latest version
• Windows: How to install Tensorflow, Theano, Keras, PyTorch, CNTK, and more on Windows
• Python 2-to-3 Tips
• How to run distributed machine learning jobs using Apache Spark and EC2 (and Python)

 

Ruby on Rails Tutorials

• learn_ruby solutions
• Send Email with Amazon SES in Ruby on Rails

 

SQL & Databases Tutorials

• How to Install SQLite on Windows: A Visual Walkthrough
• MyISAM vs. InnoDB, and how to switch engines on existing tables
• Pig Error -> ERROR 1070: Could not resolve count using imports
• How to kill a hadoop job
• Installing the Python-MySQL (MySQLdb) connector using the Yum package manager and easy_install
• Backing up and restoring databases and tables in MySQL

 

Linux and Command Line Tutorials

• How can I determine the size of a directory or folder in Linux?
• Tutorial: How to use Linux Screen
• Install all your statistics and numerical computation libraries for Python in one go on Ubuntu
• How to password-protect a PDF file on Ubuntu
• Find and Replace Text from the Command Line in Linux
• Output to standard out AND a file at the same time
• Automation: For loops in bash (for loops on the command line)
• Can’t restart Apache in Ubuntu
• How Ubuntu users can get the arrow keys to work in “vi”

 

Web Design, HTML, Javascript, and CSS Tutorials

• How to center text vertically and horizontally inside a div