Premium75 ProblemsPython
Feature Engineering Practice with Real-World Data
Turn raw operational tables into model-ready features. Practice categorical bucketing, ratios, behavioral flags, recency and tenure features, and multi-table feature matrices while handling missing values and leakage risks explicitly.
75
Python Problems
Difficulty Breakdown
75 problems0 Easy(0%)
15 Medium(20%)
45 Hard(60%)
15 Expert(20%)
Skills You'll Practice
48 skillsadtechaggbankingbinningclassificationcomputed columnconcatdata bucketingderived ratiodt accessorfillnafilteringfintechfood deliverygroupbyhealthcareinteraction featureslodginglog transformlogisticsmergemobilitymulti step pipelinemulti tablenamed aggnormalizationnp log1pnp selectnp wherenuniqueone hot encodingpaymentspd cutpd get dummiespd qcutreal estateretailsaasselectionsingle tablesocialsort valuesstreamingtelecomtime featuresto datetimetransformtwo table
All Problems75 total
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