Machine learning and statistics with python

Introduction: This week, I took part in a competition playfully and thought that I will spend a good weekend on this problem. But the competition grew complex from a simple enough problem and ended up me being tackled by the problem; instead of me tackling the problem. This article will summarize my mistakes and the 2 specific things I learned from this. Summary of the article: Recently I took part in a hackathon, and tried my ml expertise with a tabular data. But for some reasons, I wasn't able to tackle the problem. The main findings were I used a wrong encoding method, as well as didn't do enough model testing. The good: In this project, the problem was to predict for a healthcare company whether they will get a customer or not; based on different policy based data. The dataset consisted of different data about the customer and policy amount etc. The customer related data were maximum and minimum ages mentioned in the policy, for how many years the policy have been work