Published onDecember 6, 2024Hierarchical Modeling for Improving Causal Estimate Robustnesscausal-inferencebayesianpricingeconometricstime-seriesCompare multiple product elasticity estimates obtained from separate individual models vs. a single hierarchical model.Read more →
Published onNovember 19, 2024Synthesizing Cross Elasticity Dataset for Researchsynthetic-datapricingtime-seriesSynthesize a time series dataset that can be used for modeling both price and cross elasticity of demand, and for optimizing product portfolios.Read more →
Published onOctober 11, 2024Hyperparameter Tuning using Ray Tune Search Algorithms: Bayesian Optimization and HyperOptmlopswandbrayhyperparameter-tuningUsing Bayesian Optimization and HyperOpt on Ray Tune to optimize models.Read more →
Published onSeptember 7, 2024Experiment Tracking and Versioning with WandBmlopsmachine-learningwandbrayTuning models often involves making tweaks and running experiments over and over again. Track changes and version control experiments using WandB.Read more →
Published onJuly 4, 2024Quick and Effective Testing of dbt Data Pipelinesdata-engineeringmlopsSimple tutorial on testing a dbt data pipeline with dbt-utils and dbt-expectations to build production-grade data pipelines and enhance data quality.Read more →