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Decision Trees in scikit-learn

Decision Trees in scikit-learn

  • Post published:July 31, 2016
  • Post category:Machine Learning/Scikit-learn
  • Post comments:10 Comments
  • Reading time:37 mins read

Decision trees are very simple yet powerful supervised learning methods, which constructs a decision tree model, which will be used to make predictions. The main advantage of this model is…

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Support Vector Machine in scikit-learn

Support Vector Machine in scikit-learn

  • Post published:July 31, 2016
  • Post category:Machine Learning/Scikit-learn
  • Post comments:0 Comments
  • Reading time:92 mins read

Support Vector Machines has become one of the state-of-the-art machine learning models for many tasks with excellent results in many practical applications. One of the greatest advantages of Support Vector…

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Regression in scikit-learn

Regression in scikit-learn

  • Post published:July 31, 2016
  • Post category:Machine Learning/Scikit-learn
  • Post comments:0 Comments
  • Reading time:89 mins read

We will compare several regression methods by using the same dataset. We will try to predict the price of a house as a function of its attributes. In [6]: import numpy…

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Linear Classification Method

Linear Classification method with ScikitLearn

  • Post published:June 25, 2016
  • Post category:Machine Learning/Scikit-learn
  • Post comments:1 Comment
  • Reading time:67 mins read

This blog is from the book and aimed to be as a learning material for myself only.Linear Classification method implements regularized linear models with stochastic gradient descent (SGD) learning. Each sample estimates…

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