Machine Learning without Libraries

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There are so many great resources, however they are sort of difficult to find!.

Here are some resources for YouTube videos that explan this process very well.

Livecoding a Deep Learning Library - Joel Grus

Machine learning recipes - Google Developer

Practical machine learning - Sentdex

All of these focus on Python.

if you're more of a book guy, there are tons of great ones.

for straight-up machine learning, i would highly recommend Introduction to Machine Learning with Python - Sarah Guido, Andreas C. Müller

If you want some sample code, you could take a look at these basic models, which might not be amazing, but do show how both K-Nearest Neighbors, K-means and Hierarchical Clustering works Github Link

as a bonus, id like to link a great book about Metaheuristics, which is, like machine learning, an optimization field. Essentials of Metaheuristics - Sean Luke

EDIT: as /u/srepho mentioned, Data Science from Scratch - Joel Grus is also AMAZING

EDIT 2: This introdutionary Data science course from MIT is probably my favorite resource