MLHQ.io

This repo contains all of the source code files in jupyter notebook format for my blog on machine learning.

Content

Statistical Learning

• http://mlhq.io/blogs/important-statistics
• http://mlhq.io/blogs/dataset-shape-and-spread
• http://mlhq.io/blogs/linear-regression
• http://mlhq.io/blogs/linear-regression-theory
• http://mlhq.io/blogs/multivariate-linear-regression-theory
• http://mlhq.io/blogs/multivariate-linear-regression-python
• http://mlhq.io/blogs/logistic-regression-python
• http://mlhq.io/blogs/logistic-regression-theory
• http://mlhq.io/blogs/ridge-regression-theory
• http://mlhq.io/blogs/k-means-clustering-theory

More coming soon...

What is the path to being a machine learning engineer.

Basics:
  Metrics, basic - False positive, False negative
      Effect of imbalanced datasets, how to tune for aggressiveness
  What kind of data do I have, what kind of algorithm do I need
      Classification vs Regression
      Time series data (order matters)
      Markovian space, non-markovian
  How do I guess and check effectively
      How do I deal with roadblocks efficiently