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Machine learning algorithms are programs that uses math and logic to adjust themselves to perform better as they are exposed to more data. The “learning” part of machine learning means that those programs change how they process data over time, much as humans change how they process data by learning.
🔷 List of Algorithms 🔷
▶️ AdaBoost Classification ▶️ AdaBoost Regressor ▶️ Anomaly Detection ▶️ Artificial Neural Network ▶️ Bagging Classifier ▶️ Bayesian Ridge Regression ▶️ Bernoulli Restricted Boltzmann Machine ▶️ CatBoost Algorithms ▶️ Classification Cluster ▶️ Decision Tree Classification ▶️ Decision Tree Regression ▶️ Gradient Boosting Classification ▶️ K-Means ▶️ K-Nearest Neighbors ▶️ Logistic Regression ▶️ Linear Regression ▶️ Nearest Neighbors ▶️ NetworkX ▶️ Neural Networks Regression ▶️ Quantile Regression ▶️ Partial Least Squares Regression (PLSR) ▶️ Polynomial Regression ▶️ Principal Component Classification ▶️ Principal Component Regression ▶️ Random Forest Classification ▶️ Random Forest Regression ▶️ RNN Tensorflow ▶️ Ridge Regression ▶️ Support Vector Machines (SVM) ▶️ Tensorflow ▶️ Time Series ▶️ XGBoost