Data Science for Tabular Data: Advanced Techniques
This is a collection of the best Kaggle notebooks (kernels) and other resources (including notebooks (kernels) and posts in discussion from Prize Competition Winners) with Advanced Techniques of Data Science for Tabular Data.
Table of Contents:
- Exploratory Data Analysis (EDA)
- Feature Engineering (FE)
- Model Hyper-parameter Optimization
- Models Selection
- Time Series
- Probability Calibration
- Universal Tool-kits
- DS Tutorials
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#datascience #kaggle #tabular #dataanalysis
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Post #12
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