Kaggle
===

總整理
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- [ML process](/3VZDwiL-QUeCEX_8tyu--g)
- [Feature Enginner](/2XcMbmlrQjCZjlMYpfaCYg)
- [Seaborn](/5WA7bYWAQyaoL9cuQoXmZQ)

Intro to machine learning
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- [2-2 Basic Data Exploration](/cESle7P8TcCtqLpTFiAkiw)
- [2-3 Selecting Data for Modeling(DecisionTree)](/3djboqmeQommVA0RbSYezA)
- [2-4 Model Validation](/1_lSYu_xShq8-ucVsZQsZw)
- [2-5 Underfitting and Overfitting](/sLZqq6kfQ7ex6OAhc6OIQg)
- [2-6 Random Forests](/5qAFNESPTau9fPM8ZgtYUw)
- [2-9 Get Start With Titanic](/unBc2tzARcOgcLDjY4aoLQ)

Feature Enginnering
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- [3-1 Baseline Model](/vzsAbXNMTkO-Izi5K123VA)
- [3-2 Categorical Enginnering](/N6vYUPl6Qo-JFllyErloIA)
- [3-3 Feature Generation](/U_KjV5rNQZeqTWDi-bpg5Q)
- [3-4 Feature Selection](/BUag-42YQG-q-Q5ZOAiSlQ)

Pandas
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- [4-1 Creating, Reading and Writting](/J78SWG44RnuLbm4G2qFX7w)
- [4-2 Indexing, Selecting & Assigning](/i9hqV3HcQ4e-1gHSGQumcg)
- [4-3 Summary Functions and Maps](/Wj2XpmnmRnK2iC4kjbTfdg)
- [4-4 Grouping and Sorting](/BJl_skGJRqWCOffxsVCnEw)
- [4-5 Data Types and Missing Values](/j4vVR6nPSLeKLSFQQtBybQ)
- [4-6 Renaming and Combining](/7He2t8iGRC2U9ygGj8Bk3Q)

Data Visualization
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- [5-1 Hello, Seaborn](/vgKKrkVVTxSil-uZbneeaQ)
- [5-2 Line Charts](/dncnRoGrQA2kA2MkIPgKiw)
- [5-3 Bar Charts and Heatmaps](/HmSY9WqCSdeMSdSDYhZhBw)
- [5-4 Scatter Plots](/gYdn6T4PRNmH8apJ3BTe6w)
- [5-5 Distributions](/OhNYazylQw-BeQL0iQYdnw)
- [5-6 Choosing Plot Types and Custon Styles](/3-Eogz80Tc-Dfp19TOEctg)

Data Cleaning
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- [6-1 Hadnling Missing Values](/q-EiVplESTOD7d30BbJRxA)
- [6-2 Scaling and Normalization](/qSX7anhrR8u2kmafmHe0Rw)
- [6-3 Parsing Dates](/YYgstfcST-iHts4GvHMbAg)
- [6-4 Character Encodings](/hTscW7tyR4yhdgOGi5s9iw)
- [6-5 Inconsistent Data Entry](/-ZWNkxP1SGWuVaVKd0zKqA)

Intermediate Machine Learning
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- [7-2 Missing Values](/Jplo_QPMR-eTdYhcBQvxRw)
- [7-3 Categorical Variables](/karaujGRSqGpXtpa25Z9MQ)

###### tags: `kaggle`