My first Data Science competition

I recently completed the “Microsoft Professional Program Data Science” certification that cumulated with a Capstone project in the form of a competition to predict the Prevalence of Undernourishment, aka PoU. I am happy to have finished in 5th position out of 441 participants, and this post is a summary of what I learnt during the competition.

Measurable Goals

I am sure you’ve heard of SMART goals, where SMART is an acronym for Specific, Measurable, Agreed, Realistic, and Timed. I prefer using VALUE when setting up goals: Verifiable – Quantity, Cost, Time (finite), and Quality (subjective). In general, we, as humans, try to avoid specifying these. Accountable – Need to drill deep enough down … Read more