Stern Semasuka is a data scientist at WestJet who writes beginner-friendly guides on machine learning, data analysis, and programming. His blog simplifies complex ML concepts using practical projects and the Feynman Technique.
10 articles from this blog
Explains the core theory behind linear regression models, a fundamental machine learning algorithm for predicting continuous numerical values.
A theoretical introduction to Linear Regression models, explaining their use for predicting continuous variables and importance in interpretable fields like lending.
Explains the theory behind Linear Regression, a fundamental machine learning model for predicting continuous numerical values.
Explains the theory behind linear regression models, a fundamental machine learning algorithm for predicting continuous numerical values.
Explains the theory behind linear regression models, a fundamental machine learning technique for predicting continuous numerical values.
Explains the theory behind linear regression models, focusing on interpretability and use cases in fields like lending and medicine.
Explains the theory behind linear regression models, a fundamental machine learning algorithm for predicting continuous numerical values.
Explains the theory behind linear regression models, a fundamental machine learning algorithm for predicting continuous numerical values.
Explains the theory behind linear regression models, a fundamental machine learning algorithm for predicting continuous numerical values.
A crash course on the theory behind linear regression models, a fundamental machine learning algorithm for predicting numerical values.
