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This repository contains the mains Machine Learning Models, both theory and applications. For instance, Lineral Regression Model, Lineral Classification Model, Neural Network, Random Forest, Unsupervised Learning, and so on.

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.gitignore
.gitignore
 
 
00_model_development_blueprint.ipynb
00_model_development_blueprint.ipynb
 
 
01_nearest_neighbor.ipynb
01_nearest_neighbor.ipynb
 
 
02_linear_model_for_classification.ipynb
02_linear_model_for_classification.ipynb
 
 
03_linear_model_for_regression.ipynb
03_linear_model_for_regression.ipynb
 
 
04_tree_random_forest.ipynb
04_tree_random_forest.ipynb
 
 
05_gradient_boost_h2o.ipynb
05_gradient_boost_h2o.ipynb
 
 
06._naive_bayes .ipynb
06._naive_bayes .ipynb
 
 
07_model_assessment.ipynb
07_model_assessment.ipynb
 
 
08_unsupervised_techniques.ipynb
08_unsupervised_techniques.ipynb
 
 
09_shap.ipynb
09_shap.ipynb
 
 
Anomaly Detection.ipynb
Anomaly Detection.ipynb
 
 
PDX-224_Primary-Image_Green_hyperc.webp
PDX-224_Primary-Image_Green_hyperc.webp
 
 
README.md
README.md
 
 
__init__.py
__init__.py
 
 
classification.ipynb
classification.ipynb
 
 
data_prostata.txt
data_prostata.txt
 
 
file_image.txt
file_image.txt
 
 
income.csv
income.csv
 
 
model.pth
model.pth
 
 
network.ipynb
network.ipynb
 
 
sample_img.png
sample_img.png
 
 
someImage.txt
someImage.txt
 
 
sony-xperia-z5-01_w_1x.jpg
sony-xperia-z5-01_w_1x.jpg
 
 
svd_intro.ipynb
svd_intro.ipynb
 
 
tabla_crime.csv
tabla_crime.csv
 
 

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Machine Learning Models

This repository contains the mains Machine Learning Models, both theory and applications. For instance, Lineral Regression Model, Lineral Classification Model, Neural Network, Random Forest, Unsupervised Learning, and so on.

  • Linear Regression Model: OLS, Lasso, Ridge
  • Linear Classification Model: Logit, LDA
  • Unsupervised Learning:
    • K-Mean
    • DMCA
  • ...

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This repository contains the mains Machine Learning Models, both theory and applications. For instance, Lineral Regression Model, Lineral Classification Model, Neural Network, Random Forest, Unsupervised Learning, and so on.

Topics

python machine-learning random-forest jupyter-notebook unsupervised-learning anomaly-detection shap

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