/data-science-from-scratch-2nd

Primary LanguageJupyter Notebook

data-science-from-scratch-2nd

Joel Grus

  1. Introduction

  2. A crash course in python

  3. Visualizing data

  4. Linear algebra

  5. Statistics

  6. Probability

  7. Hypothesis and inference

  8. Gradient descent

  9. Getting data

  10. Working with data

  11. Machine learning

  12. k-nearest neighbors

  13. Naive bayes

  14. Simple linear regression

  15. Multiple regression

  16. Logistic regression

  17. Decision tree

  18. Neural networks

  19. Deep learning

  20. Clustering

  21. Natural languange processing

  22. Network analysis

  23. Recommender systems

  24. Databases and SQL

  25. MapReduce

  26. Data ethics

  27. Go forth and go data science

First review: 2020-06-15