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Update README.md
trieu Sep 22, 2019
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update readme for course, remove old code
tantrieuf31 Sep 22, 2019
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update readme
tantrieuf31 Sep 22, 2019
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trieu Jan 19, 2026
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trieu Jan 19, 2026
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52 changes: 26 additions & 26 deletions README.md
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Data Science from Scratch
Data Science 101 - Online Course for Beginner
=========================

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.
Here's all the code and examples for Online Course at [BigDataVietnam.org](https://www.bigdatavietnam.org/p/data-science-101-online-course-for.html).

(If you're looking for the code and examples from the first edition, that's in the `first-edition` folder.)
( You can buy the main textbook for this course here [Data Science from Scratch, 2nd Edition by Joel Grus](https://www.oreilly.com/library/view/data-science-from/9781492041122/) )

If you want to use the code, you should be able to clone the repo and just do things like
If you want to use the code, you should be able to clone the repo and just do things like. They require at least Python 3.6.

```
In [1]: from scratch.linear_algebra import dot
Expand Down Expand Up @@ -34,28 +34,28 @@ If you are on Windows, it's [potentially more complicated](https://stackoverflow

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)
3. [Visualizing Data](https://github.com/bigdatavietnam-org/data-science-101-course/blob/master/scratch/visualization.py)
4. [Linear Algebra](https://github.com/bigdatavietnam-org/data-science-101-course/blob/master/scratch/linear_algebra.py)
5. [Statistics](https://github.com/bigdatavietnam-org/data-science-101-course/blob/master/scratch/statistics.py)
6. [Probability](https://github.com/bigdatavietnam-org/data-science-101-course/blob/master/scratch/probability.py)
7. [Hypothesis and Inference](https://github.com/bigdatavietnam-org/data-science-101-course/blob/master/scratch/inference.py)
8. [Gradient Descent](https://github.com/bigdatavietnam-org/data-science-101-course/blob/master/scratch/gradient_descent.py)
9. [Getting Data](https://github.com/bigdatavietnam-org/data-science-101-course/blob/master/scratch/getting_data.py)
10. [Working With Data](https://github.com/bigdatavietnam-org/data-science-101-course/blob/master/scratch/working_with_data.py)
11. [Machine Learning](https://github.com/bigdatavietnam-org/data-science-101-course/blob/master/scratch/machine_learning.py)
12. [k-Nearest Neighbors](https://github.com/bigdatavietnam-org/data-science-101-course/blob/master/scratch/k_nearest_neighbors.py)
13. [Naive Bayes](https://github.com/bigdatavietnam-org/data-science-101-course/blob/master/scratch/naive_bayes.py)
14. [Simple Linear Regression](https://github.com/bigdatavietnam-org/data-science-101-course/blob/master/scratch/simple_linear_regression.py)
15. [Multiple Regression](https://github.com/bigdatavietnam-org/data-science-101-course/blob/master/scratch/multiple_regression.py)
16. [Logistic Regression](https://github.com/bigdatavietnam-org/data-science-101-course/blob/master/scratch/logistic_regression.py)
17. [Decision Trees](https://github.com/bigdatavietnam-org/data-science-101-course/blob/master/scratch/decision_trees.py)
18. [Neural Networks](https://github.com/bigdatavietnam-org/data-science-101-course/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)
20. [Clustering](https://github.com/bigdatavietnam-org/data-science-101-course/blob/master/scratch/clustering.py)
21. [Natural Language Processing](https://github.com/bigdatavietnam-org/data-science-101-course/blob/master/scratch/nlp.py)
22. [Network Analysis](https://github.com/bigdatavietnam-org/data-science-101-course/blob/master/scratch/network_analysis.py)
23. [Recommender Systems](https://github.com/bigdatavietnam-org/data-science-101-course/blob/master/scratch/recommender_systems.py)
24. [Databases and SQL](https://github.com/bigdatavietnam-org/data-science-101-course/blob/master/scratch/databases.py)
25. [MapReduce](https://github.com/bigdatavietnam-org/data-science-101-course/blob/master/scratch/mapreduce.py)
26. Data Ethics
27. Go Forth And Do Data Science
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