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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
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