Articles → MACHINE LEARNING → Introduction To Machine LearningIntroduction To Machine LearningThis article introduces machine learning.What Is Machine Learning? Machine Learning (ML) is a branch of artificial intelligence that enables computers to learn from data and make predictions or decisions without being explicitly programmed. Steps Of Machine Learning Here is a clear breakdown of the common steps involved in a machine learning workflow.Collecting DataGather relevant data from various sources (databases, web scraping, sensors, etc.).Data Wrangling (Preprocessing)Clean the data (handle missing values, duplicates, outliers). Convert data into a usable format (normalization, encoding, etc.).Analyze DataUnderstand patterns, relationships, and insights using statistics and visualizations.Train Algorithm (Model Training)Split data into training and validation sets. Choose a suitable ML algorithm (e.g., Linear Regression, Decision Tree, Neural Network). Fit the model on the training data.Test AlgorithmEvaluate model performance using test data and metrics like accuracy, precision, recall, etc.DeploymentIntegrate the trained model into a production environment. Posted By - Karan Gupta Posted On - Thursday, May 15, 2025 Query/Feedback Your Email Id** Subject* Query/Feedback Characters remaining 250**
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