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https://github.com/joelgrus/data-science-from-scratch
code for Data Science From Scratch book
https://github.com/joelgrus/data-science-from-scratch
Last synced: 1 day ago
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code for Data Science From Scratch book
- Host: GitHub
- URL: https://github.com/joelgrus/data-science-from-scratch
- Owner: joelgrus
- License: mit
- Created: 2014-11-09T02:31:24.000Z (about 10 years ago)
- Default Branch: master
- Last Pushed: 2023-11-09T21:18:24.000Z (about 1 year ago)
- Last Synced: 2025-01-10T20:01:45.263Z (1 day ago)
- Language: Python
- Size: 751 KB
- Stars: 8,798
- Watchers: 646
- Forks: 4,549
- Open Issues: 82
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
Data Science from Scratch
=========================
Here's all the code and examples from the second edition of my book _Data Science from Scratch_. They require at least Python 3.6.
(If you're looking for the code and examples from the first edition, that's in the `first-edition` folder.)
If you want to use the code, you should be able to clone the repo and just do things like
```
In [1]: from scratch.linear_algebra import dot
In [2]: dot([1, 2, 3], [4, 5, 6])
Out[2]: 32
```
and so on and so forth.
Two notes:
1. In order to use the library like this, you need to be in the root directory (that is, the directory that contains the `scratch` folder). If you are in the `scratch` directory itself, the imports won't work.
2. It's possible that it will just work. It's also possible that you may need to add the root directory to your `PYTHONPATH`, if you are on Linux or OSX this is as simple as
```
export PYTHONPATH=/path/to/where/you/cloned/this/repo
```
(substituting in the real path, of course).
If you are on Windows, it's [potentially more complicated](https://stackoverflow.com/questions/3701646/how-to-add-to-the-pythonpath-in-windows-so-it-finds-my-modules-packages).
## Table of Contents
1. Introduction
2. A Crash Course in Python
3. [Visualizing Data](https://github.com/joelgrus/data-science-from-scratch/blob/master/scratch/visualization.py)
4. [Linear Algebra](https://github.com/joelgrus/data-science-from-scratch/blob/master/scratch/linear_algebra.py)
5. [Statistics](https://github.com/joelgrus/data-science-from-scratch/blob/master/scratch/statistics.py)
6. [Probability](https://github.com/joelgrus/data-science-from-scratch/blob/master/scratch/probability.py)
7. [Hypothesis and Inference](https://github.com/joelgrus/data-science-from-scratch/blob/master/scratch/inference.py)
8. [Gradient Descent](https://github.com/joelgrus/data-science-from-scratch/blob/master/scratch/gradient_descent.py)
9. [Getting Data](https://github.com/joelgrus/data-science-from-scratch/blob/master/scratch/getting_data.py)
10. [Working With Data](https://github.com/joelgrus/data-science-from-scratch/blob/master/scratch/working_with_data.py)
11. [Machine Learning](https://github.com/joelgrus/data-science-from-scratch/blob/master/scratch/machine_learning.py)
12. [k-Nearest Neighbors](https://github.com/joelgrus/data-science-from-scratch/blob/master/scratch/k_nearest_neighbors.py)
13. [Naive Bayes](https://github.com/joelgrus/data-science-from-scratch/blob/master/scratch/naive_bayes.py)
14. [Simple Linear Regression](https://github.com/joelgrus/data-science-from-scratch/blob/master/scratch/simple_linear_regression.py)
15. [Multiple Regression](https://github.com/joelgrus/data-science-from-scratch/blob/master/scratch/multiple_regression.py)
16. [Logistic Regression](https://github.com/joelgrus/data-science-from-scratch/blob/master/scratch/logistic_regression.py)
17. [Decision Trees](https://github.com/joelgrus/data-science-from-scratch/blob/master/scratch/decision_trees.py)
18. [Neural Networks](https://github.com/joelgrus/data-science-from-scratch/blob/master/scratch/neural_networks.py)
19. [Deep Learning]
20. [Clustering](https://github.com/joelgrus/data-science-from-scratch/blob/master/scratch/clustering.py)
21. [Natural Language Processing](https://github.com/joelgrus/data-science-from-scratch/blob/master/scratch/nlp.py)
22. [Network Analysis](https://github.com/joelgrus/data-science-from-scratch/blob/master/scratch/network_analysis.py)
23. [Recommender Systems](https://github.com/joelgrus/data-science-from-scratch/blob/master/scratch/recommender_systems.py)
24. [Databases and SQL](https://github.com/joelgrus/data-science-from-scratch/blob/master/scratch/databases.py)
25. [MapReduce](https://github.com/joelgrus/data-science-from-scratch/blob/master/scratch/mapreduce.py)
26. Data Ethics
27. Go Forth And Do Data Science