InAnalytics VidhyabyZipporah Luna·Oct 13, 2021CRISP-DM Phase 5: Evaluation PhaseThis is part 6 of the 7-part series’ explanation of the openSAP’s 6-week Getting Started with Data Science (Edition 2021).
InAnalytics VidhyabyZipporah Luna·Aug 16, 2021CRISP-DM Phase 4: Modeling PhaseThis is part 5 of the 7-part series’ summary explanation of the openSAP’s Getting Started with Data Science (Edition 2021) course
InPython in Plain EnglishbyZipporah Luna·Aug 13, 2021Classification Analysis with RegressionA brief introduction to Logistic Regression with basic Python code
InAnalytics VidhyabyZipporah Luna·Aug 12, 2021How Grocery Stores Trick You to Buy an Item After AnotherHow grocery stores decide which aisle is across another aisle and how different categories and/or products are beside each other. Bonus…
InAnalytics VidhyabyZipporah Luna·Aug 10, 2021CRISP-DM Phase 3: Data PreparationThis is part 4 of the 7-part series’ summary explanation of the openSAP’s Getting Started with Data Science (Edition 2021) course
InAnalytics VidhyabyZipporah Luna·Aug 5, 2021CRISP-DM Phase 2: Data UnderstandingThis is part 3 of the 7-part series’ summary explanation of the openSAP’s Getting Started with Data Science (Edition 2021) course
InGeek CulturebyZipporah Luna·Jul 27, 2021Feature Selection in Machine Learning: Correlation Matrix | Univariate Testing | RFECVMultiple ways to conduct feature selection in machine learning
InPython in Plain EnglishbyZipporah Luna·Jul 26, 2021Feature Scaling: When Should You Use Standardization and NormalizationWhat and when to use Standardization and Normalization in your model
InAnalytics VidhyabyZipporah Luna·Jul 26, 2021CRISP-DM Phase 1: Business UnderstandingThis is part 2 of the 7-part series’ summary explanation of the openSAP’s Getting Started with Data Science (Edition 2021) courseA response icon1A response icon1
InPython in Plain EnglishbyZipporah Luna·Jul 23, 2021Outliers: What it Means to be DifferentDetecting Outliers in Machine Learning
