How Machine Learning Works: A Beginner’s Guide Machine Learning (ML) is a branch of artificial intelligence that enables computers to learn from data and make decisions without being explicitly programmed. This beginner-friendly guide breaks down the core concepts behind ML, including how models are trained, the difference between supervised and unsupervised learning, and how algorithms…
What is Selection Bias and How Does It Affect Data Analysis? In data analysis and machine learning, one of the most significant challenges is ensuring that the data used for training models is representative of the population or real-world scenarios the model will encounter in the future. If the data is skewed, incomplete, or unrepresentative,…
Understanding the Assumptions of Linear Regression Linear regression is a powerful statistical technique used for modeling the relationship between a dependent variable and one or more independent variables. While the model can be highly effective for making predictions, its validity and accuracy depend on certain assumptions being met. These assumptions ensure that the model fits…
