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Data Science Mentoring

TODO:

  • Creating repo 'initial commit'
  • Add datasets
  • Writing mentoring plan
  • List of models to study

Table of Content

Mentoring Plan

Model List

  • Classification Models
    • Logistic Regression
    • Desicion Tree
    • Multinomian NB
    • SVM
    • SGDClassifier

Approach

The data is random content from Wikipedia in ~10 different languages. The idea is to build a classifiers that can identify the language of a sentence. Utilizing different kind of models and techniques, we are going to compare performance and try to identify most useful preposecing and hyper parameters.

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