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Recommended resources
Module 2
Probability Foundations for Data Science
Module 3
Statistical Inference and Experimental Uncertainty
Module 4
Linear and Logistic Models
Module 5
Reliable scikit-learn Workflows and Predictive Evaluation
Module 6
Decision Trees, Ensembles, and LightGBM
Module 7
Temporal Prediction, Regime Drift, and Recalibration
Module 8
Neural Networks, PyTorch, and Event Sequences
Module 9
Survival Analysis for Time to Conversion
Module 10
Potential Outcomes and Graphical Causal Models
Module 11
Causal Adjustment and Heterogeneous Treatment Effects
Module 12