Marco CerlianiinTowards Data ScienceHitchhiker’s Guide to MLOps for Time Series Forecasting with SklearnHow to develop a time series forecasting project using Scikit-Learn·6 min read·Apr 4, 2024--3--3
Marco CerlianiDeploying Kedro Pipelines on Vertex AI: The MLOps journey of a Life CompanyEasy way to scale Kedro projects in production·6 min read·Nov 8, 2023--2--2
Marco CerlianiinTowards Data ScienceHitting Time Forecasting: The Other Way for Time Series Probabilistic ForecastingHow long does it take to reach a specific value?·4 min read·Jun 27, 2023----
Marco CerlianiinTowards Data ScienceForecasting with Granger Causality: Checking for Time Series Spurious CorrelationsHacking Granger Causality Test with ML Approaches·6 min read·Apr 6, 2023----
Marco CerlianiinTowards Data ScienceHacking Causal Inference: Synthetic Control with ML approachesTest Effectiveness of any Treatment over Time with PCA·5 min read·Mar 14, 2023----
Marco CerlianiinTowards Data ScienceModel Selection with Imbalance Data: Only AUC may Not Save youAre you Searching Parameters Efficiently?·6 min read·Feb 22, 2023----
Marco CerlianiinTowards Data SciencePCA for Multivariate Time Series: Forecasting Dynamic High-Dimensional DataSystem Forecasting in Presence of Noise and Serial Correlation·5 min read·Jan 31, 2023----
Marco CerlianiinTowards Data ScienceHacking Statistical Significance: Hypothesis Testing with ML ApproachesTest Statistical Significance in any Context Without Assumptions·7 min read·Jan 10, 2023----
Marco CerlianiinTowards Data ScienceTime Series Forecasting with Conformal Prediction Intervals: Scikit-Learn is All you NeedAccurate Uncertainty Quantification with MAPIE and TSPIRAL·5 min read·Dec 14, 2022----
Marco CerlianiinTowards Data ScienceRethinking Survival Analysis: How to Make your Model Produce Survival CurvesTime to Event Forecasting with Simple ML Approaches·6 min read·Nov 29, 2022----
