This is the first part, in a series where I will discuss some techniques for placing in the top 10% that I've used in two Kaggle competitions using just a laptop and no cloud. I made use of Python, Scikit-Learn, XGBoost, and TensorFlow. I will also be covering some of the Python code that I used.
More information here: https://sites.wustl.edu/jeffheaton/t81-558/. These are the videos related to my "Applications of Deep Neural Networks" class. Update videos are added to these core videos as the class progresses. We are currently on the Spring 2018 semester.