Title: Python liveProjects

These are self-paced projects where you work on building a "real world" application. These are the Python liveProjects that I wrote. For a list of the non-Python liveProjects, click here.

Six Small Algorithm Projects with Python

This series includes the Trees, Shortest Paths, Scheduling, Image Processing, Work Assignment, and Fractals liveProjects.

Algorithm Projects with Python: Trees

Nodes, traversals, exhaustive search, drawing, org charts, sorted trees

Algorithm Projects with Python: Shortest Paths

Nodes, links, saving and restoring networks, label setting, label correcting

Algorithm Projects with Python: Scheduling

Topological sorting, PERT charts, critical paths, Gantt charts

Algorithm Projects with Python: Image Processing

Geometry, point operations, enhancements, image ops, filters, custom kernels, special

Algorithm Projects with Python: Work Assignment

Generating test networks, maximal flow, assigning jobs

Algorithm Projects with Python: Fractals

Recursive line-drawing fractals, strange attractors, escape time fractals

Four AI Algorithm Projects with Python

This series includes for liveProject covering simple classification, swarms, expert systems, and neural networks. The focus is on building these tools from scratch so you can understand how the algorithms work rather than on building production AI systems. For that you can use existing libraries. These projects will help you know how the AI libraries work so you can get the most out of them.

AI Algorithm Projects with Python: Simple Classification

K-nearest neighbors, K-means, naive Bayes, hierarchical clustering. These algorithms (expect for hierarchical clustering) are implemented for two-dimensional points and for hand-drawn digit recognition.

AI Algorithm Projects with Python: Swarms

Vector arithmetic, boids, obstacles, gravity boids, particle swarm optimization

AI Algorithm Projects with Python: Expert Systems

Animal game, truthifier, eliminator

AI Algorithm Projects with Python: Neural Networks

Feed forward, back propagation, network topology, digit recognition, implementing a neural network with Keras