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Machine learning recipes in Python with scikit-learn, OpenCV, PyTorch, and other libraries, including classical machine learning and neural networks, based on the book "Machine Learning with Python Cookbook: Practical Solutions from Preprocessing to Deep Learning", Second Edition, by Kyle Gallatin and Chris Albon published by O'Reilly Media in 2023

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309 Commits
01--numpy-arrays
01--numpy-arrays
 
 
02--data-loading
02--data-loading
 
 
03--data-wrangling
03--data-wrangling
 
 
04--numerical-data
04--numerical-data
 
 
05--categorical-data
05--categorical-data
 
 
06--text-data
06--text-data
 
 
07--datetimes
07--datetimes
 
 
08--image-processing
08--image-processing
 
 
09--dimensionality-reduction-using-feature-extraction
09--dimensionality-reduction-using-feature-extraction
 
 
10--dimensionality-reduction-using-feature-selection
10--dimensionality-reduction-using-feature-selection
 
 
11--model-evaluation
11--model-evaluation
 
 
12--model-selection
12--model-selection
 
 
13--linear-regression
13--linear-regression
 
 
14--decision-trees--random-forests--boosting
14--decision-trees--random-forests--boosting
 
 
15--k-nearest-neighbors
15--k-nearest-neighbors
 
 
16--logistic-regression
16--logistic-regression
 
 
17--support-vector-machines
17--support-vector-machines
 
 
18--naive-bayes
18--naive-bayes
 
 
19--clustering
19--clustering
 
 
20--pytorch-tensors
20--pytorch-tensors
 
 
21--pytorch-neural-networks
21--pytorch-neural-networks
 
 
22--neural-networks-for-text-and-image-data
22--neural-networks-for-text-and-image-data
 
 
23--trained-models
23--trained-models
 
 
data
data
 
 
images
images
 
 
mnist-data/MNIST/raw
mnist-data/MNIST/raw
 
 
.gitignore
.gitignore
 
 
README.md
README.md
 
 
SEEALSO.md
SEEALSO.md
 
 
cookbook.jpg
cookbook.jpg
 
 
requirements.txt
requirements.txt
 
 
terms.md
terms.md
 
 

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Machine Learning Recipes in Python

Machine learning recipes in Python with scikit-learn, OpenCV, PyTorch, and other libraries, including classical machine learning and neural networks, based on the book "Machine Learning with Python Cookbook: Practical Solutions from Preprocessing to Deep Learning", Second Edition, by Kyle Gallatin and Chris Albon published by O'Reilly Media in 2023.

My environment was Python 3.11 with the packages specified in the requirements.txt file.

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Machine learning recipes in Python with scikit-learn, OpenCV, PyTorch, and other libraries, including classical machine learning and neural networks, based on the book "Machine Learning with Python Cookbook: Practical Solutions from Preprocessing to Deep Learning", Second Edition, by Kyle Gallatin and Chris Albon published by O'Reilly Media in 2023

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python opencv data-science machine-learning deep-learning scikit-learn image-processing pytorch neural-networks opencv-python ax-va

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