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Learn #MachineLearning Coding Basics in a weekend – a new approach to coding for #AI

image source - wikipedia


Hello all

we are now closing this 

we have been overwhelmed by the response. 

Also, speaking to Data Science Central - we will offer a certification of completion(no cost for that)

I will create a group on Data Science Central and post more details

We start this weekend (16th)

Although we said 'in a weekend' we will give you a week to complete starting this weekend 

I will post other rules and guidelines in the group also

I will also post more content leading up to the weekend

kind rgds


We (Ajit Jaokar and Dan Howarth) are launching a new free online interactive book called Learn Machine Learning Coding Basics in a weekend

The idea is: spend one weekend to pick up the basics of coding for machine learning

The audience

  1. Curious and already exploring machine learning online
  2. Already can code in any language

The methodology

We are going to use deliberate practise to learn coding

I believe that this concept originated in the old soviet union athletes

It is also associated with a diverse range of people including Golf (Ben Hogan), Shaolin Monks, Benjamin Franklin etc. For the purposes of learning coding for machine learning, we apply the following elements of deliberate practice  

  • Break down key ideas in simple, small steps. In this case, using a mindmap and a glossary
  • Work with micro steps
  • Keep the big picture in mind
  • Encourage reflection/feedback
  • Practice each element
  • Reflect and adapt in microdata points
  • Go slow


Image source: wikipedia

Artefacts / tools

  • Mindmap – Glossary
  • Colab
  • Site of book posted for comments

This means we don’t need any installation (it’s completely web-based)

The process


We will guide you through two end-to-end machine learning problems that can be taken over one weekend. 

We will introduce you to important machine learning concepts, such as machine learning workflow, defining the problem statement, pre-processing and understanding our data, building baseline and more sophisticated models, and evaluating models. 

We will also introduce to keep machine learning libraries in python and demonstrate code that can be used on your own problems. We will cover data exploration in pandas, look at how to evaluate performance in numpy, plot our findings in Matplotlib, and build our models in sci-kit learn. 

Day 1 will focus on a regression problem and introduce you to the machine learning workflow and key libraries. We will build and evaluate our first models in sci-kit learn, and replicate our evaluation in numpy as a way of introducing you to the library. 

Day 2 will focus on a classification problem, and look to reinforce machine learning workflows, focus on pandas for data exploration and analysis, and build more models in sci-kit learn. We will end by building a machine learning pipeline. 
By the end of the weekend, you will have been introduced to core concepts and have some solid code examples that you can translate to new problems. We’ll also provide you with links to enable you to develop your knowledge further. 


Feedback mechanism

  • comments in the comments section of the book
  • we will aim to respond to in a week or the community can respond where possible.
  • We are specifically interested in Missing concepts and Coding issues
  • In keeping with the ideas of deliberate practise, we will narrow the focus and we will confine to the ideas in the notebooks



first week of Feb 2019


Comment below and we will post link to book and code when live


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Comment by Jon du on Wednesday

please advise where the course link?


Comment by Ghousia Taj on Wednesday


Comment by Jon du on Wednesday

So love to see 

When is it live?

Please send invite

Comment by Darren Dhanpat on Tuesday

Thank you....I found it

Comment by RK Veluvali on Monday

Very much

Comment by Robert Birds on February 16, 2019 at 6:21pm
Comment by Robert Birds on February 16, 2019 at 6:18pm

Darren Dhanpat - the course has been going all day. Click on the link to day one and day two and you will see what you need to do.

Comment by Darren Dhanpat on February 16, 2019 at 6:06pm
  • Ready for the link for the course
Comment by Kumar Manoharan on February 16, 2019 at 6:39am

If you have missed the below comment by Ajit Jaokar, reposting it here:
Comment by ajit jaokar yesterday

Here is the group for the course 

You need to join this

We will post instructions there 

We commence on the Sunday 

Comment by SULA ALHATEM on February 16, 2019 at 6:15am

This is great! Very interested


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