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FLIP01: Advanced Data Science

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• Materials in this module include resources collected from various open-source online repositories.
• You are free to use, change and distribute this package.
• If you found any issue/bug for this document, please submit an issue at tulip-lab/flip01:
• Pull requests are welcome:
• Point of Contact 👉 : Yang Cao

Prepared by FLIP01 Team

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Maintainer

• 2022： Yang Cao, Baojie Zhang
• 2021： Siyu Chen
• 2020： Mengyue Deng
• 2019： Mengyue Deng
• 2018： Shaoni Wang

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Modules

You are recommended to use local or Cloud platform to run the materials, such as:

• Google Colab
• Visual Studio Code

Module	Category	Topic	Module Notebooks
1️⃣	Preliminary	Pattern Classification	F1A-00-Bayesian F1A-01-DecisionBoundaries F1A-02-EM F1A-03-HMM F1A-04-ParzenWindow.ipynb F1A-05-KNN F1A-06-OptimizationandRootFinding F1A-07-AlgorithmsforOptimization F1A-08-UsingOptimizationRoutines F1A-09-SVM F1A-10-ClassifyingandCalculating F1A-11-RandomNumbers F1A-10-ClassifyingandCalculating F1A-11-RandomNumbers F1A-12-IsolationForest F1A-13-ResamplingAndSimulation.ipynb F1A-14-MCMC.ipynb F1A-15-AuxiliaryVariableMCMC
2️⃣	Preliminary	Machine Learning	F1B-00-MLPipeline F1B-01-MLGridSearch F1B-02-MLValidationCurves F1B-03-MLPolyFeaGeneration F1B-04-MLSampleGenerators
3️⃣	Core	Convex Optimisation	F1C-00-IntroductionOfCVXPY F1C-01-DisciplinedConvexProgramming
4️⃣:	Core	Web crawler	F1D-00-theFarmRequests F1D-01-theStewBS4 F1D-02-theSaladLxml F1D-03-theRestaurantSelenium F1D-04-theChefScrapy F1D-05-AnExampleofWebCrawler
5️⃣:	Core	NLP	F1E-00-LanguageProcessingandPython F1E-01-AccessingTextCorporaandLexicalResources F1E-02-ProcessingRawText F1E-03-WritingStructuredPrograms F1E-04-CategorizingandTaggingWords F1E-05-LearningtoClassifyText F1E-06-ExtractingInformationfromText F1E-07-AnalyzingSentenceStructure F1E-08-BuildingFeatureBasedGrammars F1E-09-AnalyzingtheMeaningofSentences.ipynb F1E-10-ManagingLinguisticData
6️⃣:	Advance	MLflow	F1F-00-TrainModel F1F-01-CompareModel F1F-02-PackagingTrainingCode F1F-03-SpecifyingPipRequirements F1F-04-ServingTheModel F1F-05-DeployModel

Contributors

Thanks goes to these wonderful people 🌷

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