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Introduction to Data Science and Machine Learning algorithms: SVM, Naive Bayes, Decision Trees, Random Forests

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Introduction to Data Science:

  1. Implementation of Exploratory Data Analysis, Association Rules, k-Means Clustering, Decision Trees, Random Forests, SVM, and Naive Bayes on R
  2. Final project on predicting Customer Satisfaction Index by the flight route and the type of package that they are traveling in.

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Introduction to Data Science and Machine Learning algorithms: SVM, Naive Bayes, Decision Trees, Random Forests

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