PinnedInTDS ArchivebyEryk Lewinson·Feb 11, 2019Explaining Feature Importance by example of a Random ForestLearn the most popular methods of determining feature importance in PythonA response icon14A response icon14
Eryk Lewinson·Jul 7Treating Unstructured Data Like a DataFrame: An Introduction to DataChainDuring my studies and early career, I was always working with tabular data. That was the bread and butter of data science. Sure, to get the…
InDataDrivenInvestorbyEryk Lewinson·Mar 1Build a Financial Event Calendar App in Python From ScratchLearn how to visualize financial events using Python, Streamlit, and the Financial Modeling Prep APIA response icon1A response icon1
InDataDrivenInvestorbyEryk Lewinson·Jul 17, 2025Volatility Forecasting with GARCH: Theory, Use Cases, and ExamplesA Hands-On Python Tutorial Using the arch Library
InDataDrivenInvestorbyEryk Lewinson·May 9, 2025Volatility Forecasting with ARCH ModelA Hands-On Python Tutorial Using the arch Library
InDataDrivenInvestorbyEryk Lewinson·Dec 16, 2024Beyond Mean-Variance Optimization: Finding Optimal Portfolios with Hierarchical Risk ParityA hands-on tutorial on how to do it in Python with skfolioA response icon4A response icon4
InDataDrivenInvestorbyEryk Lewinson·Oct 9, 2024Beyond Value at Risk: Understanding Conditional VaR and Entropic VaRLearn What Conditional VaR and Entropic VaR Are and How to Optimize Portfolios for These Risk Measures
InTDS ArchivebyEryk Lewinson·Aug 31, 2024Essential Guide to Continuous Ranked Probability Score (CRPS) for ForecastingLearn how to evaluate probabilistic forecasts and how CRPS relates to other metrics
InDataDrivenInvestorbyEryk Lewinson·Aug 26, 2024Skfolio: The Latest Python Library for Portfolio OptimizationA Step-by-Step Guide to Mean-Variance OptimizationA response icon7A response icon7
InTDS ArchivebyEryk Lewinson·Aug 4, 2024An Introduction to Quantile Loss, a.k.a. the Pinball LossLearn the intuition behind the metric used to evaluate probabilistic forecastsA response icon1A response icon1