📄️ Week 1
A variety of machinery competition is very high. In some, participants are asked to process texts. In others, to classify picture or select the best advertising. Despite the variety, all of these competitions are very similar in structure. Usually, they consist of the same elements or concepts:
📄️ Week 2
It's basically a process of looking into the data, understanding it and getting comfortable with it. Getting comfortable with a task, probably always the first thing you do. To solve a problem, you need to understand a problem, and to know what you are given to solve it. In data science, complete data understanding is required to generate powerful features and to build accurate models. In fact while you explore the data, you build an intuition about it. And when the data is intuitive for you, you can generate hypothesis about possible new features and eventually find some insights in the data which in turn can lead to a better score.
📄️ Week 3
Metricsvideo2constantsforMSEandMAE.ipynb
📄️ Week 4
Validation in presence of time component