Classification

Classification Process

1. Acquire data
2. Explore data
3. Clean data
4. Feature engineer
5. Train
6. Test
7. Iterate
8. Present

Class Imbalance

Class Imbalance

Models

• KNN
• Decision Trees
• Naive Bayes
• SVMs
• Random Forests
• Neural Networks can also be used for classification tasks, work well on unstructured data
  • However, not generally well suited for classification

Training classifiers with sklearn

sklearn for classification