What is Z-Score Normalization? Z-score normalization, or standardization, is a statistical technique that transforms data to follow a standard normal…
What is Elastic Net Regression? Elastic Net regression is a statistical and machine learning technique that combines the strengths of…
What is Recursive Feature Elimination? In machine learning, data often holds the key to unlocking powerful insights. However, not all…
What is High-Dimensional Data? High-dimensional data refers to datasets that contain a large number of features or variables relative to…
Introduction Text data is everywhere—from social media posts and customer reviews to emails and product descriptions. For data scientists and…
What is Missing Data in Machine Learning? In machine learning, the quality and completeness of data are often just as…
What is Predictive Analytics? Predictive analytics uses historical data, statistical algorithms, and machine learning techniques to identify patterns and forecast…
What is Linear Regression in Machine Learning? Linear regression is one of the fundamental techniques in machine learning and statistics…
What is a Confusion Matrix? A confusion matrix is a fundamental tool used in machine learning and statistics to evaluate…
What is Ordinary Least Squares (OLS)? Ordinary Least Squares (OLS) is a fundamental technique in statistics and econometrics used to…