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Lisbon Data Science Starters Academy QA
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Please mark yourself as a QA for the Learning Units you feel comfortable with. You should not QA learning units which you produced.
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The QA should do the exercises and / or read the Learning Notebooks, and create issues when there are bugs or anything is unclear. Solving the issues, while a plus, is not strictly necessary to be a QA.
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To learn how to help, please read the following wiki: How to help improve materials
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For going through and raising issues (not fixing)
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Type Learning Unit Exercise notebooksLearning notebooks Exercise Notebook Time EstimateLearning Notebook Time Estimate
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QADone?QADone?
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SLUSLU01_Pandas_101Pedrox030
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SLU02_Subsetting_DataPedrox030
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SLU03_Transforming_DataPedrox030
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SLU04_VisualizationPedro3030
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SLU05_Basic_StatsRishi SacharRishi Sachar3030
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SLU06_Intermediate_StatisticsBernardo CaldasBernardo Caldas3030
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SLU07_Advanced_StatisticsBernardo CaldasBernardo Caldas3030
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SLU08_Data_ProblemsPedro MarcelinoPedro Marcelino3030
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SLU09_RegressionRishi SacharRishi Sachar3030
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SLU10_Classification3030
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SLU11_Model_ValidationPedro MarcelinoPedro Marcelino3030
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SLU12_Validation_metrics_for_regression3030
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SLU13_Validation_classification3030
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SLU14_AlgorithmsPedro MarcelinoPedro Marcelino3030
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SLU15_Working_With_Real_Data3030
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SLU16_Hyperparameter_Tuning3030
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SLU17_Data_Sufficiency_And_Selection3030
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SLU18_Unsupervised_Learning3030
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SLU19_Basic_Workflow3030
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BLUsbatch2-BLU019090
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batch2-BLU029090
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batch2-BLU039090
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batch2-BLU049090
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batch2-BLU059090
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batch2-BLU069090
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batch2-BLU079090
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batch2-blu089090
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batch2-blu099090
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batch2-blu10PedroxPedrox00
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21.52344.5
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