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README

This project has been developed for the Data Mining class by t0re199 and adel3roman6.

The project consists in Data Analysis, Exploration and Multi-Class Classification on a Google Play Application Dataset in Python.
Many data science libraries have been used, examples are:

  • NumPy
  • Pandas
  • SkLearn
  • Imblearn
  • Matplotlib
  • Seaborn

Classification

The following classifiers have beed used:

  • Decision Tree
  • SupportVector Machines
  • K-Nearest Neighbour
  • Random Forest
  • AdaBoost with Decision Trees as weak learners.

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Data Analysis, Exploration and Multi-Class Classification on a Google Play Application Dataset in Python

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