Simplifying Forecasts with Teamwork: The Power of Ensemble ModelsJust like in investing, where spreading your bets can lead to rewards without much risk, in the world of machine learning, mixing different…Feb 291Feb 291
Zillow: A Machine Learning Failure?An unbiased analysis of the craziest business downturn driven by machine learning.Jan 22, 2022Jan 22, 2022
Published inTowards Data Sciencepytsviz: interactive time series charts with Plotly and PythonIntroducing a new library to speed up time series analysisDec 28, 20211Dec 28, 20211
Published inTowards Data ScienceMethod is all you need: 7 mistakes to avoid in Data ScienceA curated collection from our experienceDec 6, 2021Dec 6, 2021
Published inTowards Data ScienceStop copy-pasting notebooks, embrace Jupyter templates!Introducing jupytemplate: configurable templates for JupyterFeb 5, 20205Feb 5, 20205
Published inTowards Data ScienceIntroducing tsviz, interactive time series visualization in R StudioWhy and how we developed an R Studio add-inJul 27, 20192Jul 27, 20192
Published inTowards Data ScienceLessons from a real Machine Learning project, part 2: the traps of data explorationHow to fall into the pitfalls of data exploration and get awayJun 4, 20191Jun 4, 20191
Published inTowards Data ScienceLessons from a real Machine Learning project, part 1: from Jupyter to LuigiA brief story about how we realized how to use — and how not not use — Jupyter notebooks in Machine Learning projectsMay 6, 2019May 6, 2019
