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README.md

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data-science-from-scratch
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Data Science from Scratch
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=========================
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code for Data Science From Scratch book
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Here's all the code and examples from my book __Data Science from Scratch__.
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Each can be used as a library, for example
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```python
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from linear_algebra import distance, vector_mean
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v = [1, 2, 3]
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w = [4, 5, 6]
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print distance(v, w)
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print vector_mean([v, w])
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```
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Or can be run from the command line to get a demo of what it does (and to execute the examples from the book):
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```bat
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python recommender_systems.py
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```
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## Table of Contents
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1. Introduction
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2. A Crash Course in Python
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3. [Visualizing Data](https://github.com/joelgrus/data-science-from-scratch/blob/master/visualizing_data.py)
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4. [Linear Algebra](https://github.com/joelgrus/data-science-from-scratch/blob/master/linear_algebra.py)
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5. [Statistics](https://github.com/joelgrus/data-science-from-scratch/blob/master/statistics.py)
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6. [Probability](https://github.com/joelgrus/data-science-from-scratch/blob/master/probability.py)
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7. [Hypothesis and Inference](https://github.com/joelgrus/data-science-from-scratch/blob/master/hypothesis_and_inference.py)
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8. [Gradient Descent](https://github.com/joelgrus/data-science-from-scratch/blob/master/gradient_descent.py)
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9. [Getting Data](https://github.com/joelgrus/data-science-from-scratch/blob/master/getting_data.py)
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10. [Working With Data](https://github.com/joelgrus/data-science-from-scratch/blob/master/working_with_data.py)
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11. [Machine Learning](https://github.com/joelgrus/data-science-from-scratch/blob/master/machine_learning.py)
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12. [k-Nearest Neighbors](https://github.com/joelgrus/data-science-from-scratch/blob/master/nearest_neighbors.py)
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13. [Naive Bayes](https://github.com/joelgrus/data-science-from-scratch/blob/master/naive_bayes.py)
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14. [Simple Linear Regression](https://github.com/joelgrus/data-science-from-scratch/blob/master/simple_linear_regression.py)
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15. [Multiple Regression](https://github.com/joelgrus/data-science-from-scratch/blob/master/multiple_regression.py)
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16. [Logistic Regression](https://github.com/joelgrus/data-science-from-scratch/blob/master/logistic_regression.py)
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17. [Decision Trees](https://github.com/joelgrus/data-science-from-scratch/blob/master/decision_trees.py)
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18. [Neural Networks](https://github.com/joelgrus/data-science-from-scratch/blob/master/neural_networks.py)
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19. [Clustering](https://github.com/joelgrus/data-science-from-scratch/blob/master/clustering.py)
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20. [Natural Language Processing](https://github.com/joelgrus/data-science-from-scratch/blob/master/natural_language_processing.py)
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21. [Network Analysis](https://github.com/joelgrus/data-science-from-scratch/blob/master/network_analysis.py)
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22. [Recommender Systems](https://github.com/joelgrus/data-science-from-scratch/blob/master/recommender_systems.py)
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23. [Databases and SQL](https://github.com/joelgrus/data-science-from-scratch/blob/master/databases.py)
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24. [MapReduce](https://github.com/joelgrus/data-science-from-scratch/blob/master/mapreduce.py)
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25. Go Forth And Do Data Science

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