Deep Learning Prerequisites: The Numpy Stack in Python Extra Resources

Table of Contents

  1. Extended Version of the Course
  2. Github Repo
  3. Forum (Q&A)
  4. Environment Setup and Colab
  5. What order should I take your courses in?
  6. Should you code-along?
  7. Colab Notebooks
  8. 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

 

Github Repo

Contains solutions to bonus exercises (in the V2+ version of the course), and code for other machine learning and data science courses.

https://github.com/lazyprogrammer/machine_learning_examples/tree/master/numpy_class

 

Discussion Forum

https://forum.lazyprogrammer.me

(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?

Part 1:

Part 2:

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:

 

Colab Notebooks

Numpy Notebook

Matplotlib Notebook

Pandas Notebook

Scipy Notebook

 

What is machine learning? Sckit-learn BONUS

Exclusive to the deeplearningcourses.com version only.