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Machine Learning Algorithms

10 groups of Machine Learning Algorithms

  • Post published:May 30, 2017
  • Post category:Data Analysis/Machine Learning/Predictive Analysis
  • Post comments:0 Comments
  • Reading time:12 mins read

In this article, I grouped some of the popular machine learning algorithms either by learning or problem type. There is a brief description of how these algorithms work and their…

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FP-growth algorithm

Coding FP-growth algorithm in Python 3

  • Post published:August 7, 2016
  • Post category:Machine Learning
  • Post comments:9 Comments
  • Reading time:29 mins read

FP-growth algorithm Have you ever gone to a search engine, typed in a word or part of a word, and the search engine automatically completed the search term for you?…

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AdaBoost

AdaBoost (Python 3)

  • Post published:August 7, 2016
  • Post category:Machine Learning
  • Post comments:1 Comment
  • Reading time:48 mins read

AdaBoost The AdaBoost (adaptive boosting) algorithm was proposed in 1995 by Yoav Freund and Robert Shapire as a general method for generating a strong classifier out of a set of…

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Apriori Algorithm

Apriori Algorithm (Python 3.0)

  • Post published:August 7, 2016
  • Post category:Machine Learning
  • Post comments:8 Comments
  • Reading time:39 mins read

Apriori Algorithm The Apriori algorithm principle says that if an itemset is frequent, then all of its subsets are frequent.this means that if {0,1} is frequent, then {0} and {1}…

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Principal Component Analysis in scikit-learn

Principal Component Analysis in scikit-learn

  • Post published:August 1, 2016
  • Post category:Machine Learning/Scikit-learn
  • Post comments:0 Comments
  • Reading time:78 mins read

Principal Component Analysis (PCA) is an orthogonal linear transformation that turns a set of possibly correlated variables into a new set of variables that are as uncorrelated as possible. The…

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Naiive Bayes in scikit-learn

  • Post published:July 31, 2016
  • Post category:Machine Learning/Scikit-learn
  • Post comments:1 Comment
  • Reading time:28 mins read

Naïve Bayes is a simple but powerful classifier based on a probabilistic model derived from the Bayes' theorem. Basically it determines the probability that an instance belongs to a class…

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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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