Consulting
Speaker
Bartosz Mikulski
Data Craft - making data pipelines trustworthy
All Stories
Guidelines for data science teams — a summary of Daniel Molnar’s talks
Avoiding over-engineering in machine learning
Ludwig machine learing model in Kaggle
My first attempt to use Ludwig
The problem of large categorical variables in machine learning
How to use FeatureHasher in Scikit-learn
Encoding categorical variables in machine learning
One-hot encoding, dummy coding, and effect coding in Scikit learn and Pandas
How To Avoid Data Leakage While Building A Machine Learning Model
What to do when your model works perfectly during testing but fails in production
Using scikit-automl for building a classification model
My first attempt to use scikit-automl and how I got it working
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