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Decision Tree.ipynb

Decision Tree.ipynb

 
 

Gradient Boost with PCA.ipynb

Gradient Boost with PCA.ipynb

 
 

Image classification (letters) with Keras.ipynb

Image classification (letters) with Keras.ipynb

 
 

Image classification with Scikit-Learn.ipynb

Image classification with Scikit-Learn.ipynb

 
 

K-Neares Neighbors (KNN).ipynb

K-Neares Neighbors (KNN).ipynb

 
 

Naive Bayes.ipynb

Naive Bayes.ipynb

 
 

README.md

README.md

 
 

Random Forest.ipynb

Random Forest.ipynb

 
 

Stochastic Gradient Descent.ipynb

Stochastic Gradient Descent.ipynb

 
 

feature_engineering_images.ipynb

feature_engineering_images.ipynb

 
 

image_processing.py

image_processing.py

 
 

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Machine Learning

Here I collect some useful jupyter notebooks and python scripts I used for machine learning. I set up the repo for the course "Machine Learning" at Fernfachhochschule Schweiz. As we had to participate in Kaggle competitions (https://www.kaggle.com/), most of the notebooks and scripts were written for this purpose and competition specific tasks.

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Usefull stuff for machine learning. I use this repo for the course "Machine Learning" at Fernfachhochschule Schweiz

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