Case Interview: Metrics Diagnosis This article discuss about the procedure of handling metircs diagnosis problem in data science interview 2022-12-25 A/B Testing & Case Interview #Case Interview
Bayesian Model in Machine Learning This article discuss bayesian model in supervised machine learning 2022-12-13 Machine Learning #Bayesian Model
Sampling Methods for Machine Learning This article introduce basic and improved sampling methods frequently used in machine learning 2022-12-05 Machine Learning #Sampling
Basic of Probability Theory for Data Science This article introduce basic terminology and concerns of Probability Theory needed for data science 2022-12-02 Probability & Statistics #Probability #Basic Knowledge
Structural Causal Model This article introduce basic idea and terminology of Structual Causal Model in Causal Inference 2022-11-10 Causal Inference #Basic Knowledge #Structural Causal Model #Causal Graph
Potential Outcome Framework This article discuss about basic knowledge of causal inference 2022-11-07 Causal Inference #Distribution
Introduction of Causal Inference This article discuss about basic knowledge of causal inference 2022-11-07 Causal Inference #Basic Knowledge
Common Distribution Types This article discuss about common distribution types in Machine Learning 2022-11-04 Probability & Statistics #Distribution
Encoding Methods for Categorical Variable This article discuss encoding methods for categorical variable 2022-10-22 Machine Learning #Feature Engineering #Encoding
Normality Test and Distribution Type Transformation This article discuss about distributions type transformation techniques in Machine Learning 2022-10-22 Machine Learning #Distribution Type Transformation #Feature Engineering