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Supervised Learning

Supervised learning is a type of machine learning where the model is trained on labeled data. This means the training dataset includes both the input and the correct output, and the model learns to map the input to the output.

Regression Algorithms

Linear Regression Polynomial Regression Ridge Regression Lasso Regression Support Vector Regression (SVR) Decision Tree Regression Random Forest Regression

Classification Algorithms

Logistic Regression Support Vector Machines (SVM) Decision Trees Random Forest Gradient Descent Gradient Boosting XGBoost-Regression LightGBM K-Nearest Neighbors (KNN) Naive Bayes Neural Networks (for classification tasks)
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