Subscribe to DSC Newsletter

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


Views: 16230


You need to be a member of Data Science Central to add comments!

Join Data Science Central

Comment by Satyajit on March 25, 2019 at 2:04am

Ah, I missed the group.

When is the next batch or group where I can participate?

Comment by Muhammad Nadeem bin Ramli on March 24, 2019 at 5:52pm

Am I too late? ;)

Comment by ajit jaokar on March 14, 2019 at 1:58pm

@David I cannot email/message people. One batch has already completed

you can join this one

Its for a London group but you are welcome to join

Comment by David Watson on March 14, 2019 at 1:50pm

 Remain interested.

Comment by Dana Gray on March 11, 2019 at 1:43pm


Comment by Moses Chianu Okonji on March 11, 2019 at 4:00am


Comment by Dr S Kotrappa on March 10, 2019 at 11:46pm

When was it started and completed ?

Comment by Peter Sunny on March 10, 2019 at 11:42pm


Comment by Angie Williams on March 10, 2019 at 2:05pm

Will there be another class, if so when. Interested. 

Comment by Jon du on March 4, 2019 at 2:13pm

Please leave link to course.



  • Add Videos
  • View All

© 2019   Data Science Central ®   Powered by

Badges  |  Report an Issue  |  Privacy Policy  |  Terms of Service