Machine Learning With Python

Get started with Machine Learning with Python

An engaging introduction to Machine Learning with Python

There are two options.

Download all the notebooks from this repository and run them in Jupyter Notebook. Chapter one in eBook will get you started with that.
Follow along using Google colab

Note: On each of those options, you'll find:

A starter folder, which contains all the notebooks, that are empty in order to follow along.
A final folder, which contains all the notebooks with all the source code.

No installations needed.
Go to Colab Notebooks Folder
Start watching the first video lesson (YouTube).
Note: On each notebook, click on "Open in Colab", in order to open it on Google Colab

The course puts you on an exciting journey with Machine Learning (ML) using Python.
- It will start you off with simple ML concepts to understand and build on top of that
- Taking you from simple classifier problems towards Deep Neural Networks and complex information extractions
The course is structured in 15 sessions, where each session is composed of the following elements
- Lesson introducing new concepts and building on concepts from previous Lessons
- Project to try out the new concepts
- YouTube video explaining and demonstrating the concepts
  - A walkthrough of concepts in Lesson with demonstrating coding examples
  - An introduction of the Project
  - A solution of the project

Worried about whether you have what it takes to complete this course?

Some basic knowledge of Python and/or programming is highly recommended.
- If you feel lost check out this free Python for beginners course
  - It is structured in 17 lessons
  - 8 hours of video tutorials
  - 17 projects taking you from scratch
  - It includes a free eBook with all concepts
  - It has a GitHub repository with all examples and projects prepared for you
There will be links to help materials when using difficult programming concepts.

Fortunately, when it comes to the complex math and statistics behind the Machine Learning models, you do not need to understand that part.
All you need is to know how they work and can be used.
- It's like driving a car. You do not have to be a car mechanic to drive it - yes, it helps you understand the basic knowledge of an engine and what the engine does.
- Using Machine Learning models is like driving a car - you can get from A to B without being a car mechanic.

A lot of people consider me a smart guy - well, the truth is, I'm not
- I just spend the hours learning it - I have no special talent
In the end, it all depends on whether you are willing to spend the hours
Yes, you can focus your efforts and succeed faster
- How?
- Well, structure it with focus and work on it consistently.
- Structure your learning - many people try to do it all at once and fail - stay focused on one thing and learn well.
- Yes, structure is the key to your success.