Ngu Hui EnMachine Learning Step 5 — Hyperparameter TuningThis guide delves into various techniques for hyperparameter tuning, including grid search, random search, and more.Mar 20Mar 20
Ngu Hui EnMachine Learning Step 4 — Evaluation MetricsRegression Evaluation Metrics and Classification Evaluation Metrics are discussed.Mar 19Mar 19
Ngu Hui EnMachine Learning Step 3 — Model BuildingWe discussed on supervised and unsupervised learning including algorithms such as logistic regression, linear regression, naive bayes, etc.Mar 19Mar 19
Ngu Hui EnLeveraging Feature Engineering in Employee Promotion Process using SAS StudioHypothesis testing on employee promotion process using statistical approach in SAS studioMar 19Mar 19
Ngu Hui EnMachine Learning Step 2 (B) — Data PreprocessingIn Part B, we will discussed on data encoding, data normalization, feature selection and data splitting.Mar 18Mar 18
Ngu Hui EnMachine Learning Step 2 (A)— Data PreprocessingIn Part A, data preprocessing will be discussed on duplication, fixing structural errors, handling of missing data and handling of…Mar 18Mar 18
Ngu Hui EnUnveiling the Agri-Tech Revolution: How Microsoft is Harnessing Data Science in AgricultureExploration of Microsoft’s FarmBeats and AI for Planet in agricultureMar 18Mar 18
Ngu Hui EnData Science Projects in AgricultureBridging Agriculture and Data Science: Innovations for Sustainable FarmingMar 18Mar 18
Ngu Hui EnTelecom Customer Churn Prediction in Apache SparkTelecom Customer Churn Prediction (Python)Mar 17Mar 17
Ngu Hui EnMachine Learning Step 1: Problem IdentificationDemystifying Problem Identification in Machine LearningJan 16Jan 16