Machine Learning

Understand the concepts of overfitting and underfitting in machine learning models.

Understand the concept of a model in machine learning through a classroom discussion.

Discover my objective and preparation strategy for clearing the AWS Certified Machine Learning Specialty Exam. Learn about the structure of the exam, its domains, and the importance of real-time experience in the machine learning field. Find out the online resources and courses I referred to during my preparation, including AWS resources, Udemy courses, SageMaker documentation, and additional articles. Explore the practice exams I took and how they helped me identify my weak areas. Gain insights into the tips and techniques I used during the real exam to pass with a high score. Get advice on preparing notes and staying organized throughout the learning process

Regression testing plays a crucial role in software development, but retesting the entire program after making changes or adding new features is often impractical. To address this, a subset of test cases is executed for regression testing. In this blog post, we explore a proof of concept (POC) that uses a Classification Learning model to assist in the selection of manual regression test cases. By considering metadata and natural language descriptions of test cases, the model predicts which test cases should be selected. The post also covers data collection and preparation, as well as exploratory data analysis to understand the relationship between various features and test case selection