Data Science Community Blog

In this edition, we’re exploring how Prophet actually thinks about time. By the end, you should have a much clearer sense of how trends, seasonality, and real-world disruptions fit together, and why ...

In this edition, we're exploring how sequence modeling changes the way one thinks about data, why treating rows as independent often leads to shallow insights, and how RNNs and GRUs step in to model ...

In this edition, we’re exploring forecasting through Autoregression, ARIMA, and the model selection tools AIC and BIC. By the time you’re done reading, you’ll understand how data can actually learn f...

In this edition, we’re exploring two regression techniques that every data professional eventually bumps into when the simple models stop telling the full story. You’ll get a clear sense of what quan...

In this edition, we will look at why RAG is quickly becoming a much bigger conversation than simply retrieving a few documents before asking an AI model a question. From there, I want to explore some...

In this edition, we’re exploring Bayesian modeling and how to think about uncertainty in a more realistic, practical way using PyMC3. By the time you’re done, you’ll have a clear intuition for what B...

In this edition, we’re exploring into causal inference and why it matters once you move beyond basic reporting and prediction. By the time you’re done, you’ll have a clear understanding of how causal...

How do you know if your Fabric data agent is actually ready for production? A few successful test questions aren't enough. In this post, I'll share why ground truth datasets are essential for evaluat...

In this edition, we’re exploring Temporal Fusion Transformers in a way that actually makes sense in the real world. You’ll also get a clear walkthrough of the key ideas inside the architecture, like ...