Table of Contents
- Extended Version of the Course
- Github Repo
- Forum (Q&A)
- Environment Setup and Colab
- What order should I take your courses in?
- Should you code-along?
- Colab Notebooks
- What is machine learning? Sckit-learn BONUS
Extended Version of the Course
This version of the course contains legacy version of the course and the Machine Learning Basics section using Scikit-Learn.
Get it here: https://deeplearningcourses.com/c/numpy-python
Contains solutions to bonus exercises (in the V2+ version of the course), and code for other machine learning and data science courses.
(This is moderated, you won’t see your post until it is accepted. It’s just to prevent spam.)
Environment Setup and Colab
Get setup with Google Colab
How to install Tensorflow, PyTorch, Keras, Theano, CNTK with Anaconda (Windows-Focused, but applies to everyone)
What order should I take your courses in?
Should you code-along?
In this course (The Numpy Stack in Python), yes you should!
In more advanced courses with complex theory – no you should not. See this video where I explain this in-depth:
What is machine learning? Sckit-learn BONUS
Exclusive to the deeplearningcourses.com version only.