Supervised machine learning

Understanding Data Science

Lis Sulmont

Curriculum Manager, DataCamp

Data science workflow

What is supervised machine learning?

• Machine learning: Predictions from data
• Supervised machine learning: Predictions from data with labels and features
  • Recommendation systems
  • Diagnosing biomedical images
  • Recognizing hand-written digits
  • Predicting customer churn

Case study: churn prediction

Case study: churn prediction

Case study: churn prediction

Case study: churn prediction

Case study: churn prediction

Case study: churn prediction

Case study: churn prediction

Supervised machine learning recap

• Make a prediction based on data
• Data has features and labels
  • Label: what we want to predict
  • Features: data that might predict the label
• Trained model can make predictions

Model evaluation

Split historical data into training and testing sets

Model Evaluation

Model Evaluation

Model Evaluation

• Checking both outcomes is important for rare events
• Model has 0% accuracy at predicting an actual churn outcome

Let's practice!

Understanding Data Science