Intro Quick Recap of Linear Regression What is Logistic Regression Why Logistic Regression is powerful How to interpret Logistic Regression Conclusion Intro Before delving into Logistic Regression, let’s examine the formulas of Linear Regression and Logistic Regression. From the graph above, we can observe that Logistic Regression employs the output of…

Intro What is the AUC-ROC curve How AUC-ROC work How to interpret the AUC-ROC curve Why AUC-ROC curve is powerful (with case study) Intro From the previous article I mentioned the confusion matrix and the derived performance metrics from it. In the article, we will be discuss how them are related…

Intro What is confusion matrix What is accuracy, precision, recall and F1 score How to choose the appropriate performance metric by case Common mistake with accuracy Conclusion Intro Have you ever found yourself uncertain about how to assess the performance of a model? In this article, I will clarify the concepts…

What is Database Normalization Understanding Normal Forms Step-by-step Example with Full Explanation in 1NF, 2NF, 3NF, and BCNF Summary & Key Takeaway Notes What is Database Normalization The concept of normalization was introduced by E.F. Codd, the inventor of the relational database model. Normalization is the process of organizing data in a database to…

What is A/B testing When to apply A/B testing How to implement A/B testing How to interpret A/B testing result How to determine the size of A/B testing groups Common used statistical tests in A/B testing What is A/B testing A/B testing, also known as split testing, is a statistical experiment used to compare…

Observational studies and experimental studies are two types of research designs used in scientific research. Easy understanding, we can say Observational is where you observe certain variables and try to determine if there is any correlation. Experimental is where you control certain variables and try to determine if there is…

For people who first learn statistics, they would often ask that why are we having ‘n-1’ in denominator for sample variance instead of ’n’. …

Data Selection Intro— Filter Method, Wrapper Method and Embedded Method Compare the different between Filter Method, Wrapper Method and Embedded Method.sharkyun.medium.com In the last article, we know the idea of the different data selection. In this article, we will be focusing on the implementation with Wrapper Method in R and python. Wrapper method is a greedy search algorithm that attempts to find the “optimal” feature subset by iteratively selecting features based…

Compare the different between Filter Method, Wrapper Method and Embedded Method. We can simply derive data selection into 3 categories — Filter Method, Wrapper Method, Embedded Method. Let’s discuss about what these method does, and their pro and cons. Filter Method Definition: Select features based on statistical tests or correlations Pros: Easy…