Data miningData mining refers to the process of discovering patterns, relationships, and insights from large volumes of data. It involves extracting meaningful and previously unknown information from datasets using statistical, mathematical, and machine learning techniques. Data mining utilizes various algorithms and methods to explore and analyze data, identify patterns or trends, and make predictions or decisions based on the discovered knowledge. It involves steps such as data preprocessing, exploratory data analysis, feature selection, model building, and evaluation. refers to the process of discovering patterns, relationships, and insights from large volumes of data. It involves extracting meaningful and previously unknown information from datasets using statistical, mathematical, and machine learningMachine learning is a branch of artificial intelligence that enables computers to learn from data and make predictions or decisions without explicit programming. It involves training algorithms on data to recognize patterns and perform tasks, leading to applications like image recognition and recommendation systems. techniques. Data miningData mining refers to the process of discovering patterns, relationships, and insights from large volumes of data. It involves extracting meaningful and previously unknown information from datasets using statistical, mathematical, and machine learning techniques. Data mining utilizes various algorithms and methods to explore and analyze data, identify patterns or trends, and make predictions or decisions based on the discovered knowledge. It involves steps such as data preprocessing, exploratory data analysis, feature selection, model building, and evaluation. utilizes various algorithms and methods to explore and analyze data, identify patterns or trends, and make predictions or decisions based on the discovered knowledge. It involves steps such as data preprocessing, exploratory data analysis, feature selection, model building, and evaluation.