Advanced Classification

Come aboard to learn how to implement different classification models in Python and how to calculate various performance metrics and predict what categories certain data sets fall into.

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Classification DIGITAL SKILL

Learners master the art of Implementing different classification models in Python and how to calculate various performance metrics and predict what categories certain data sets fall into. Participants also take a deep dive into the world of NLP to find insights from large corpuses of text.

Classification

  • Classification Algorithms

    Basic algorithms - Logistic regression
    Advanced algorithms - SVM, Neural Networks, RF, NB
    Train models and evaluate predictions
    Classifying various data types

  • Natural Language Processing

    Overview of NLTK library in python - for NLP
    Removing punctuation, symbols and stop words
    Tokenising text
    Lemmatization of words
    Bag of words, Sentiment Analysis

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  • Explore other realms of Machine Learning

    A solid foundation in the theories behind Machine Learning make applying the tools that much easier.

  • Machine Learning Unsupervised

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