FLIP00: Base Data Science

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/flip00:
Pull requests are welcome:
Point of Contact 👉 : Baojie Zhang

Prepared by FLIP00 Team

Maintainer

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

Module	Category	Topic	Module Notebooks
1️⃣	Preliminary	Python Basics	F0A-00-Python F0A-01-ControlAdvData F0A-02-FunctionOO F0A-03-PackagesAndData
2️⃣	Preliminary	Fundamental Package	F0B-00-StructuredDataNumPy F0B-01-OperationsinPandas F0B-02-ExploratoryDA F0B-03-Supervised F0B-04-ScikitLearnrandomforest F0B-05-CS1Classification F0B-06-Unsupervised
3️⃣	Core	Data Visualization	F0C-00-ExploratoryDA F0C-01-IntroMatplotlib F0C-02-Pyplot F0C-03-CS-EDA1 F0C-04-InfMatplotlib F0C-05-CS-EDA2 F0C-06-BasicPlots F0C-07-TimeSeries F0C-08-Styles F0C-09-2DPlots F0C-10-Subplots F0C-11-Scatterplot F0C-12-3DPlots F0C-13-Maps F0C-14-EventHandling F0C-15-DotDensityMap F0C-16-GraphViz F0C-17-3rdPartyLib F0C-18-CS-GeoData
4️⃣:	Core	Model	F0D-00-LinearSystems F0D-01-LinearSystemsandConditionNumbers F0D-02-GaussianElimination F0D-03-Eigenvalues F0D-04-MoreEigenvalues F0D-05-QRfactorisation F0D-06-MatrixDecompositions F0D-07-DecompositionMethods F0D-08-LinearAlgebraExamples F0D-09-PCA F0D-10-SparseMatrices F0D-11-SimpleRegression F0D-12-MultipleRegression F0D-13-RidgeRegressionAssignmentBlank F0D-14-RidgeRegressionAssignmentBlank(2) F0D-15-Lasso F0D-16-LogisticRegression F0D-17-SVDFactorisation
5️⃣:	Core	Probability	F0E-00-Probability F0E-01-ProbabilityParadox F0E-02-ProbabilitySimulation

Thanks goes to these wonderful people 🌷