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
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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
Explore values curiosity: Did you know?
The Hawaiian alphabet has 13 letters
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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.
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Machine Learning Unsupervised
A solid foundation in the theories behind Machine Learning make applying the tools that much easier.
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