Originally published here Github contribution graph shows your repository contributions over the past year. A filled-up contribution graph is not only pleasing to the eye but points towards your hard… Read more Create GitHub’s style contributions plot for your Time Series data →
Originally published here Massive Open Online Courses (MOOCs) are an indispensable part of the life of a self-taught data scientist. If you are in a room full of wanna-be data… Read more Reviewing the recently released HuggingFace 🤗 Course →
Important caveats to be kept in mind when encoding data with pandas.get_dummies() Handling categorical variables forms an essential component of a machine learning pipeline. While machine learning algorithms can naturally handle… Read more Beware of the Dummy variable trap in pandas →
Streamline your data science code repository and tooling quickly and efficiently Originally published here Good Code is its own best documentation Dr. Rachael Tatman, in one of her presentation, highlighted the… Read more Automate your data science project structure in three easy steps →
Building interpretable Boosting Models with IntepretML Originally published here As summed up by Miller, interpretability refers to the degree to which a human can understand the cause of a decision. A… Read more Interpretable or Accurate? Why Not Both? →
An open-source package for decision tree visualization and model interpretation Originally published here It is rightly said that a picture is worth a thousand words. This axiom is equally applicable… Read more A better way to visualize Decision Trees with the dtreeviz library →
