README.md

This is a repository used to generate plots and other learning materials for AI courses, including ML and Data Science.

Contents

• Matplotlib & seaborn plots
• Code snippets (in presentation)
• Mermaid diagrams (in presentation)
• Styling
• Sources
• Plot Showcase

Matplotlib & Seaborn plots

• pip install -r requirements.txt
• python main.py: contains a function to render all plots again, or a scratchpad to re-render specific plots.

Code Snippets (ray.so)

The code examples for the slides can be found in ray.so_images. They are, of course, made with ray.so.

Settings:

• Theme: meadow
• Background: off
• Margin: 16px
• Languages used: Python, Markdown

This folder also contains code snippets used for the presentation. Some are just small snippets, others are fully functional scripts to play around with.

Mermaid Diagrams

In the mermaid folder we store the syntax for the mermaid diagrams in .md files and store .svg and .png renders.

Styling

Everything here uses styling from colour_reference.md, which contains the CodeCafé colours as well as some supporting colours to complete the palette.

Sources

Machine Learning

Supervised Learning

• Article on Logistic Regression

Unsupervised Learning

• Unsupervised learning algorithms (video)

Reinforcement learning

• OpenAI Gymnasium: compare reinforcement learning algorithms.

Math

• Wolfram Alpha offers some insightful demo's in their demonstrations project (broken?).
• Big O cheat sheet

Machine Learning Per Domain

Jump to field:

• Audio Processing & Analysis
• Biology
• Finance
• Geography
• Image processing
• Marketing
• Natural Language Processing
• Network Analysis

Audio Processing & Analysis

• Librosa: library to work with and transform audio data.
• SciPy: Offers basic audio signal processing tools, such as Fourier transforms, filtering, and convolution.

Biology

• BioPython: biology toolkit for Computational Molecular Biology
• BioBERT: vector embeddings for biological natural language processing.
• PlantCV: Plant Phenotyping Computer Vision

Finance

• Top 10 Python for Finance packages

Geography

• Geopandas: working with geometric data.

Image Processing

• OpenCV: face detection and more.
• Pillow (PIL): basic image processing like resizing, cropping, and filtering.

Marketing

Also see natural language processing, since marketing works with this a lot.

Natural Language Processing

• BERT
• NLTK (Natural Language ToolKit)
• Practical Speech Recognition with Python: The Basics: tutorial on speech recognition in Python (KDNuggets).

Network Analysis

• Networkx: network plotting & analysis tool (may require a GUI/plotting library to best display the network)

Robotics

• ROS (Robot Operating System): framework for robot software, integrated with Python for ML.

Software Development

• FastAPI: build API's fast.
• Flask: build web applications with ease.
• Plotly: dashboard library, great for visualization.

Plot Showcase

Enjoy some cool plots! That need somewhat better styling in the sizing and letters and margins.

Classification Example