Grassroots Machine Learning

A collection of examples and tutorials mainly in Python.
There are articles for each notebook that go deeper into the topic.

Introduction

Simple library replicating several algorithms for educational purpose.

• Contains the Stats module
• Check the posts about Data & Python introduction
• Probability & random numbers: and the related blog post
• Shannon's entropy: and the related blog post

TidyData

• Examples and tutorials for data wrangling
• Read the NHL data

Visualization

Contains data visualization examples

• Histograms, 2D and 3D scatter, parallel coordinates, Andrew’s curves

Predict

Examples and tutorials for supervised regression

• Univariate linear regression
• Multiple linear regression
• Inference for linear regression
• Feature selection
• Overfitting
• Cross-validation
• Regularisation
• An example: rebuild audio using linear regression
• Time series: the basics
• A time series example

Classify

Examples and tutorials for supervised classification

• Logistic Regression from ground up
• Logistic Regression using statsmodels
• Logistic Regression using SKlearn
• Multi-class Logistic Regression
• Multi-class logistic regression in R
• Classification using K-nearest neighbours in Python
• Classification using Support Vector Machines
• Classification using Decision Tree
• Classification using Random Forest
• Classification metrics and Naive Bayes

Data dimensionality reduction

• PCA & Isomap algorithms

Connect

Examples and tutorials for unsupervised connection

• Clustering using K-means in Python

Natural Language Processing (NLP)

Examples and tutorials for Natural Language Processing classification and beyond

• Word counting: the Hello Worlds of NLP
• Distributed word counting with Spark
• Text analyser (Python and Flask)
• Introduction to NLTK
• Sentiment Analysis
• Word vectors
• Part of Speeches - Tagging
• Part of Speeches - Advanced, using a Hidden Markov Model

Deep Learning

Examples and tutorials using Artificial Neural Networks

• Classification using Artificial Neural Network
• Regularisation in Neural Networks
• An introduction to tensors
• An introduction to Tensorflow
• Regularisation with Tensorflow
• Saving and loading models in Tensorflow
• Example: classify Chinese numbers with PyTorch
• Analyse Bitcoin price dynamics using LTSM neural networks

Learn

Examples and tutorials for reinforcement learning, software agents

Create

Examples and tutorials for Generative AI

• Markov-Shannon: a simple text generator
• A simple generator of names using bigrams
• Prompt Engineering
• Audio transcription using Whisper model