/machine-learning-fundamentals

A bunch of python scripts I wrote during a machine learning course.

Primary LanguageJupyter NotebookGNU General Public License v3.0GPL-3.0

2021 Machine Learning

What its machine learning ?

“The field of study that gives computers the ability to learn without being explicitly programmed” - Arthur Samuel

Roadmap

Categories / Types of learning

  • Supervised ( You have data and labels, the model tries to learn the relationship between the data and labels. )
  • Unsupervised (You have data but no labels)
  • Reinforcement ( An agent algorithm performs actions in an enviroment and is rewarded or penalized based on the whether the actions were favourable or not.)
  • Transfer training ( Take knowledge from one model and use it in your own)

Problems

  • Classification
  • Regression
  • Clustering
  • Dimensional reduction

Process:

Process

Books:

Python Machine Learning (3rd Ed.) by Raschka, Sebastian and Mirjalili, Vahid

References

All the credits for the roadmap goes to Daniel Bourke's machine learning mindmaps who inspired me and helped me during my studies.