Data Preprocessing for Machine Learning

If you are like a measurable amount of programmers out there then you may be interested in Machine Learning(ML). More specifically you might be inspired by hearing or reading about stories of success in the ML industry: from self-driving cars, to robots that can learn to walk and jump, to automations that help advertise better, to trading robots that can make decisions without discretionary input from an investor. The future is certainly an exciting and somewhat scary journey we are going through together. Recently, the advancement of technologies and open source / private projects have brought the ML field into the hands of the people by decentralizing much of the advanced power behind this industry. If you have heard of names like TensorFlow, PyTorch, Sklearn, XGBoost, or Keras, to name a few, you know what I am talking about.