The goal of this project was to create a spam filter.

This was an assignment during the Skills Bootcamp in Artificial Intelligence.

It was intended to be presented as a form of presentation, thus, the code is as clearly explained as possible in a step-by-step fashion.

Tools:

• Google Collab
• Python (pandas, numpy, matplotlib, seaborn, ipython, wordcloud, scikit-learn, nltk)
• Jupyter Notebooks (presented via the JN slideshow function)

Algorithms used:

• Multinomial Naive-Bayes
• Support Vector Classifier

Learned about:

• NLP general concepts (tokenization)
• Object manipulation with nltk
• Various evaluation metrics
• Stratified kFold Cross-Validation
• Hyperparameter Optimization with GridSearchCV