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.ipynb_checkpoints
.ipynb_checkpoints
 
 
Chapter 1 - Vectors, Matrices, and Arrays.ipynb
Chapter 1 - Vectors, Matrices, and Arrays.ipynb
 
 
Chapter 11 - Model Evaluation.ipynb
Chapter 11 - Model Evaluation.ipynb
 
 
Chapter 12 - Model Selection.ipynb
Chapter 12 - Model Selection.ipynb
 
 
Chapter 13 - Linear Regression.ipynb
Chapter 13 - Linear Regression.ipynb
 
 
Chapter 14 - Trees and Forests.ipynb
Chapter 14 - Trees and Forests.ipynb
 
 
Chapter 15 - K-Nearest Neighbors.ipynb
Chapter 15 - K-Nearest Neighbors.ipynb
 
 
Chapter 16 - Logistic Regression.ipynb
Chapter 16 - Logistic Regression.ipynb
 
 
Chapter 17 - Support Vector Machines.ipynb
Chapter 17 - Support Vector Machines.ipynb
 
 
Chapter 18 - Naive Bayes.ipynb
Chapter 18 - Naive Bayes.ipynb
 
 
Chapter 19 - Clustering.ipynb
Chapter 19 - Clustering.ipynb
 
 
Chapter 2 - Loading Data.ipynb
Chapter 2 - Loading Data.ipynb
 
 
Chapter 21 - Saving and Loading Trained Models.ipynb
Chapter 21 - Saving and Loading Trained Models.ipynb
 
 
Chapter 3 - Data Wrangling.ipynb
Chapter 3 - Data Wrangling.ipynb
 
 
Chapter 4 - Handling Numerical Data.ipynb
Chapter 4 - Handling Numerical Data.ipynb
 
 
Chapter 5 - Handling Categorical Data.ipynb
Chapter 5 - Handling Categorical Data.ipynb
 
 
Chapter 6 - Handling Text.ipynb
Chapter 6 - Handling Text.ipynb
 
 
Chapter 7 - Handling Dates and Times.ipynb
Chapter 7 - Handling Dates and Times.ipynb
 
 
README.md
README.md
 
 
environment.yml
environment.yml
 
 
model.pkl
model.pkl
 
 
model_(version).pkl
model_(version).pkl
 
 
requirements.txt
requirements.txt
 
 
sample.db
sample.db
 
 

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machine-learning-with-python-cookbook-notes

My jupyter notebooks/code samples from Chris Albon's Machine Learning with Python Cookbook

usage

git clone https://github.com/f00-/machine-learning-with-python-cookbook-notes.git
cd machine-learning-with-python-cookbook-notes
conda env create -f environment.yml
source activate machine_learning_cookbook
pip install -r requirements.txt
jupyter notebook

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(Part of) Chris Albon's Machine Learning with Python Cookbook in .ipynb form

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