X-Learner Uplift Model in Python | Meta Learner | Machine Learning смотреть онлайн

X-learner is a meta-learner that is an extension of the T-learner. Compared with T-learner, X-learner is better for highly imbalanced treatment and control groups. In this tutorial, we will talk about the following:

? How to implement X-learner manually in Python?
? How to make an individual treatment effect (ITE) estimation using X-learner?
? How to calculate average treatment effect (ATE) estimation using X-learner?

⏰ Timecodes ⏰
0:00 - Intro
0:22 - Step 0: X-learner Algorithm
1:44 - Step 1: Install and Import Libraries
2:38 - Step 2: Pull Data
3:07 - Step 3: X-learner Model Data Processing
3:52 - Step 4: X-Learner 1st Stage Models on Outcomes
4:43 - Step 5: X-Learner 1st Stage Model Predictions on Outcomes
5:11 - Step 6: X-Learner 2nd Stage Models on Imputed ITE
5:58 - Step 7: X-Learner 2nd Stage Model Predictions on Imputed ITE
6:16 - Step 8: X-Learner Propensity Score Model
6:42 - Step 9: X-learner Individual Treatment Effect (ITE)
8:16 - Step 10: X-Learner Average Treatment Effect (ATE)
8:39 - Step 11: Customer Segmentation Using T-learner Individual Treatment Effect (ITE)

❤️ Blog post with code for this video: https://medium.com/grabngoinfo/x-learner-uplift-model-in-python-768260a06a4a
? Code Notebook: https://mailchi.mp/a744ca6959e7/t0707lfh8j
? GrabNGoInfo Machine Learning Tutorials Inventory: https://medium.com/grabngoinfo/grabngoinfo-machine-learning-tutorials-inventory-9b9d78ebdd67

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