machine_learning_examples
A collection of machine learning examples and tutorials.
A collection of Python code examples that accompany paid machine learning and deep learning video courses, organized into folders by course topic so enrolled students can follow along.
This repository is a companion code collection for a series of machine learning and data science courses sold at deeplearningcourses.com by the author who goes by "Lazy Programmer". It contains Python code examples and tutorials that accompany video course content on topics including deep learning, natural language processing, reinforcement learning, computer vision, time series analysis, and financial applications of AI.
The repository is organized so that each folder corresponds to one course. Students enrolled in a particular course find the associated code by identifying the folder name, which is explained in an early lecture within each course. The author notes that not all courses have code here: newer courses (particularly those built around TensorFlow 2.0) were taught using Google Colab notebooks, with links provided inside the course lectures rather than in this repository.
The README recommends cloning the repository rather than forking it, because the author updates the code frequently and forks quickly fall out of date. Cloning allows students to pull the latest changes easily with a single command.
This is not a standalone learning resource. It is specifically a code supplement to paid courses and does not include explanations or lesson text on its own. Someone looking to learn from it without the accompanying course would need to navigate the folder structure based on prior knowledge of what the courses cover.
Where it fits
- Follow along with deep learning or NLP course videos using the matching Python code examples in this repo.
- Study reinforcement learning, computer vision, or time series AI with working code samples tied to course lectures.
- Stay current with course updates by cloning the repo and running git pull rather than forking it.