⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 or handson-mlp instead.
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⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 or handson-mlp instead.
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
Cracking the Coding Interview 6th Ed. Solutions
- cracking-the-coding-interview
- java
- algorithms
- data-structures
Practice with "Real" SQL Problems
Solutions for Elements of Programming Interviews problems written in Golang (work-in-progress)
The Little Schemer in Elixir.
MIT CS 6.042 opencourseware Fall 2010 problems + solutions
Solutions to In-Class questions, Problem Sets and Exams of MIT Mathematics for Computer Science 2015 (same as 2019 Open Learning Library)
- calculus
- counting
- functions
- graph
Coq code and exercises from the Coq'Art book [maintainers=@ybertot,@Casteran]
- coq
- coq-art
- exercises
- docker-coq-action
In this project, the Pacman agent will find paths through his maze world, both to reach a particular location and to collect food efficiently. I implemented general search algorithms such as depth-first, breadth-first, uniform cost, and A* search algorithms which are used to solve navigation problems in the Pacman world.
Working my way through cracking the coding interview in Go, because I want to learn it
This project presents a Python-based spam detector program that utilizes the Naive Bayes approach to classify emails as either spam or ham. The system is designed to accurately and efficiently identify spam messages, providing a useful tool for individuals and organizations seeking to manage their email inboxes more effectively.
- anaconda
- jupyter-notebook
- python