----> Spam Classification using Random Forest Classifier and Gradient Boosting Classifier
- LEARNING OUTCOMES
- Understand how to do Exploratory data analysis
- How to use feature engineering to get the most out of your data
- Data cleaning steps: tokenization, stop word removal etc.
- Vectorization
- Understand intuitively how random forest and gradient boosting work
- Learn about ensemble models
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