Learn Linear Regression and Logistic Regression by understanding two fundamental machine learning algorithms used for prediction and classification tasks. This training covers how linear regression is used to model relationships between continuous variables and how logistic regression is used for binary classification problems. It also explains key concepts such as cost functions, gradient descent, model fitting, and evaluation metrics. You will learn how to prepare datasets, train models, and interpret results effectively. The course focuses on building a strong foundation in supervised learning techniques for real-world data analysis and predictive modeling.
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