Data Preparation & Feature Engineering

Feature Engineering: Transforming Raw Data into Predictive Power

Feature engineering is one of my favorite parts of data science. You can have all the fancy models in the world, but if your features don’t capture the right patterns, your model won’t perform well. So, how do we transform raw data into something useful? Here are some approaches I’ve Read more…

By Themistocles Papavramidis, 2 monthsFebruary 11, 2025 ago

Data Preparation & Feature Engineering

Filling in the Blanks: How to Handle Missing Data

Dealing with Missing Data in Data Science Missing data is one of those challenges that every data scientist encounters. It can mess with your analysis, introduce bias, or even make models completely unreliable. So, how do we deal with it? There’s no one-size-fits-all solution, but depending on why the data Read more…

By Themistocles Papavramidis, 2 monthsFebruary 6, 2025 ago