PinnedHeiko OnnenTemporal Fusion Transformer Unleashed: Deep Forecasting of Multivariate Time Series in PythonEnd-to-End Example: Probabilistic Forecast of a Time Series with Exogenous Variables and Complex Seasonality12 min read·May 15, 2022--4--4
PinnedHeiko OnneninTowards Data ScienceSpurned in a Survival Forest: Customer Churn Prediction in PythonConditional Survival Forest Model with PySurvival11 min read·Dec 2, 2021--4--4
PinnedHeiko OnneninTowards Data ScienceSwaying the Persuadables: Predict Marketing Uplift in PythonEnd-to-End Example: Modeling Customer Responses to Marketing Campaigns with Scikit-uplift19 min read·Dec 13, 2021--3--3
PinnedHeiko OnneninTowards Data ScienceBuy ‘Til You Die: Predict Customer Lifetime Value in PythonEnd-to-end example: the Beta Geometric/Negative Binomial Distribution Model (BG/NBD), using Lifetimes in Python21 min read·Nov 27, 2021--4--4
Heiko OnnenHow to Apply Functions to Your DataFrame, Fast and SlowWhat is Vectorization in Python?14 min read·Oct 7, 2022----
Heiko OnneninTowards Data ScienceN-BEATS Unleashed: Deep Forecasting Using Neural Basis Expansion Analysis in PythonEnd-to-End Example: Neural Forecasting of a Multivariate Time Series with Complex Seasonality15 min read·Jan 10, 2022--6--6
Heiko OnneninTowards Data ScienceTransformer Unleashed: Deep Forecasting of Multivariate Time Series in PythonEnd-to-End Example: Probabilistic Forecast of a Multivariate Time Series with Complex Seasonality23 min read·Jan 5, 2022--9--9
Heiko OnneninTowards Data ScienceTemporal Fusion Transformer: A Primer on Deep Forecasting in PythonEnd-to-End Example: Probabilistic Time Series Forecasts Using the TFT, an Attention-Based Neural Network19 min read·Dec 28, 2021--5--5
Heiko OnneninTowards Data ScienceOne-Hot Elbows and k-Prototypes: More Customer Segmentation in PythonOne-Hot Encoding, Principal Components, and k-Prototype Clustering of Mixed Variables9 min read·Nov 16, 2021----
Heiko OnneninTowards Data ScienceElbows and Silhouettes: Hands-on Customer Segmentation in PythonClustering of Mixed Categorical and Numerical Data by k-Means and Mean Shift. Scree Plots, Elbow Points, and Silhouette Scores.21 min read·Nov 15, 2021--3--3