Uplift modeling Part 2: Modelling Strategies

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Section 1: S Learner Model

  1. Introduction to Uplift Modeling
  2. Download Resources
  3. Building the S-Learner Model from scratch
  4. How to Make Predictions?
  5. Compute Uplift - ITE and ATE
  6. Customer Segmentation
  7. Assignment: QINI Curve

Section 2: Modeling Multiple Treatments

  1. Modeling Approach
  2. Training the model
  3. Make predictions and interpret

Section 3: T Learner Model

  1. How T Learner works?
  2. Building the T Learner model
  3. Observations

Section 4: X Learner Model

  1. How the X Learner Works?
  2. Build Stage 1 model: Treatment and control
  3. Build Stage 2 model: Predict imputed uplift
  4. Build Stage 3 model: Predict Propensity score
  5. More Resources for advanced modeling
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