Data_Science_Scratch

Code examples from: 'Data Science from Scratch: First Principles with Python' by J. Grus, O'reilly books 2014 The code examples mostly follow the exposition given in the book.

Name		Name	Last commit message	Last commit date
Latest commit History 108 Commits
Ch10_Working_with_data		Ch10_Working_with_data
Ch12_K_nearest_neighbors		Ch12_K_nearest_neighbors
Ch13_Naive_Bayes		Ch13_Naive_Bayes
Ch16_Logistic_Regression		Ch16_Logistic_Regression
Ch17_Decision_Trees		Ch17_Decision_Trees
Ch18_Neural_Networks		Ch18_Neural_Networks
Ch19_Clustering		Ch19_Clustering
Ch20_Natural_Language_Processing		Ch20_Natural_Language_Processing
Ch21_Network_Analysis		Ch21_Network_Analysis
Ch22_Recommender_Systems		Ch22_Recommender_Systems
Ch23_Database_SQL		Ch23_Database_SQL
Ch24_MapReduce		Ch24_MapReduce
Ch9_Getting_Data		Ch9_Getting_Data
.gitignore		.gitignore
Ch11_Machine_Learning.py		Ch11_Machine_Learning.py
Ch14_Linear_Regression.py		Ch14_Linear_Regression.py
Ch15_Multiple_Regression.py		Ch15_Multiple_Regression.py
Ch3_Visualizing_Data.py		Ch3_Visualizing_Data.py
Ch4_Linear_Algebra.py		Ch4_Linear_Algebra.py
Ch5_Data_Statistics.py		Ch5_Data_Statistics.py
Ch6_Probability.py		Ch6_Probability.py
Ch7_Hypothesis_and_Inference.py		Ch7_Hypothesis_and_Inference.py
Ch8_Gradient_Descent.py		Ch8_Gradient_Descent.py
README.md		README.md
__init__.py		__init__.py

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