PinnedPublished inDataman in AIHandbook of Anomaly Detection: With Python Outlier Detection — (1) IntroductionAnomaly detection is the detection for any rare events that deviate significantly from the majority of the data. Those rare events, called…Oct 9, 20222Oct 9, 20222
PinnedPublished inDataman in AIExplain Your Model with the SHAP ValuesUse the SHAP Values to Explain Any Complex ML ModelSep 14, 201938Sep 14, 201938
PinnedPublished inDataman in AITransfer Learning for Image Classification — (2) Pre-trained Image ModelsHands on with Pre-trained modelsJan 30, 2023Jan 30, 2023
PinnedPublished inDataman in AIThe SHAP Values with H2O ModelsMany machine learning algorithms are complicated and not easy to understand, even though they have rendered an impressive level of…Nov 24, 20212Nov 24, 20212
PinnedPublished inDataman in AITop Data Science Interview Questions and AnswersYou receive a data science interview opportunity from your dream company. You have surveyed many the-top-50-question types of articles but…Nov 18, 20212Nov 18, 20212
A Data Scientist’s Toolkit to Encode Categorical Variables to NumericEncoding categorical variables into numeric formats is a crucial and frequent part of a data scientist’s work. Properly handling these…Jan 29Jan 29
Machine Learning Must Know — Preparing the Modeling DataAt first glance, this topic may seem basic, but I’ve noticed that most machine learning books overlook it. While many books focus on…Jan 20Jan 20
Avoid These Deadly Modeling Mistakes that May Cost You a CareerI love watching data scientists dive into advanced packages, craft dazzling visualizations, and experiment with innovative algorithms. They…Jan 189Jan 189
Data Science LifecycleThink of the data science lifecycle as the blueprint for building a house. Just as you wouldn’t start construction without a solid…Jan 13Jan 13