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README.md
README.md
 
 
ch02 - Adaline.ipynb
ch02 - Adaline.ipynb
 
 
ch02 - Adaline.py
ch02 - Adaline.py
 
 
ch02 - Perceptron.ipynb
ch02 - Perceptron.ipynb
 
 
ch02 - Perceptron.py
ch02 - Perceptron.py
 
 
ch03 - Decision tree.ipynb
ch03 - Decision tree.ipynb
 
 
ch03 - Decision tree.py
ch03 - Decision tree.py
 
 
ch03 - K-nearest neighbors.ipynb
ch03 - K-nearest neighbors.ipynb
 
 
ch03 - K-nearest neighbors.py
ch03 - K-nearest neighbors.py
 
 
ch03 - Logistic regression.ipynb
ch03 - Logistic regression.ipynb
 
 
ch03 - Logistic regression.py
ch03 - Logistic regression.py
 
 
ch03 - Perceptron (sklearn).ipynb
ch03 - Perceptron (sklearn).ipynb
 
 
ch03 - Perceptron (sklearn).py
ch03 - Perceptron (sklearn).py
 
 
ch03 - Support vector machine.ipynb
ch03 - Support vector machine.ipynb
 
 
ch03 - Support vector machine.py
ch03 - Support vector machine.py
 
 
ch03 - cheatML.docx
ch03 - cheatML.docx
 
 
ch04 - Features.ipynb
ch04 - Features.ipynb
 
 
ch04 - Features.py
ch04 - Features.py
 
 
ch05 - PCA, LDA.ipynb
ch05 - PCA, LDA.ipynb
 
 
ch05 - PCA, LDA.py
ch05 - PCA, LDA.py
 
 
ch06 - Model evaluation and tuning.ipynb
ch06 - Model evaluation and tuning.ipynb
 
 
ch06 - Model evaluation and tuning.py
ch06 - Model evaluation and tuning.py
 
 
ch07 - Ensembles learning.ipynb
ch07 - Ensembles learning.ipynb
 
 
ch07 - Ensembles learning.py
ch07 - Ensembles learning.py
 
 
ch08 - Sentiment analysis (NLP and big data).ipynb
ch08 - Sentiment analysis (NLP and big data).ipynb
 
 
ch08 - Sentiment analysis (NLP and big data).py
ch08 - Sentiment analysis (NLP and big data).py
 
 
ch09 - Embedding ML model into a web app.ipynb
ch09 - Embedding ML model into a web app.ipynb
 
 
ch09 - Embedding ML model into a web app.py
ch09 - Embedding ML model into a web app.py
 
 
ch10 - Regression Analysis.ipynb
ch10 - Regression Analysis.ipynb
 
 
ch10 - Regression Analysis.py
ch10 - Regression Analysis.py
 
 
ch11 - Clustering Analysis.ipynb
ch11 - Clustering Analysis.ipynb
 
 
ch11 - Clustering Analysis.py
ch11 - Clustering Analysis.py
 
 
ch12 - Neural Networks.ipynb
ch12 - Neural Networks.ipynb
 
 
ch12 - Neural Networks.py
ch12 - Neural Networks.py
 
 
ch13 - Theano, Keras.ipynb
ch13 - Theano, Keras.ipynb
 
 
ch13 - Theano, Keras.py
ch13 - Theano, Keras.py
 
 

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Examples of machine learning methods implemented in Python

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Machine learning examples in Python

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  • Jupyter Notebook 95.5%
  • Python 4.5%