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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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kNN

k-Nearest Neighbors(kNN)

  • Post published:July 30, 2016
  • Post category:Machine Learning
  • Post comments:2 Comments
  • Reading time:100 mins read

k-Nearest Neighbors(kNN) Pros: High accuracy, insensitive to outliers, no assumptions about data Cons: Computationally expensive, requires a lot of memory Works with: Numeric values, nominal values We have an existing…

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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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Evaluating Machine Learning Algorithms

Evaluating Machine Learning Algorithms

  • Post published:June 10, 2016
  • Post category:Machine Learning
  • Post comments:2 Comments
  • Reading time:104 mins read

This blog contains notes for me to understand how to evaluate machine learning algorithms . I want to see how models compare and contrast to each other. This is from…

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