Maybe I can assist? I took a graduate course at Cornell called Applied Machine Learning[1] last year. The lecture notes are really great. The lecture notes surv

Maybe I can assist? I took a graduate course at Cornell called Applied Machine Learning[1] last year. The lecture notes are really great. The lecture notes survey a huge list of machine learning algorithms, and highlights its useful applications. If you don't have understanding of regression vs classification, maybe skim through online resources to get a high level understanding of machine learning. Then you can dive into the lecture notes where you get breadth and a little depth. Also the book, Building Machine Learning Systems with Python [2], is an amazing book where it applies machine learning techniques with python. I think this is the best resource on how to begin applying machine learning methods and it was helpful when I was implementing algorithms for the class, like kNN for clustering and PCA reduction + log regression for face recognition. [1] https://cornelltech.github.io/cs5785-fall-2017/lectures.html https://cornelltech.github.io/cs5785-fall-2017/lectures.html [2] http://totoharyanto.staff.ipb.ac.id/files/2012/10/Building-Machine-Learning-Systems-with-Python-Richert-Coelho.pdf http://totoharyanto.staff.ipb.ac.id/files/2012/10/Building-M...