ML Algorithms


Training and Testing In Machine Learning we create models to predict the outcome of certain events, to measure if the model is good enough, we can use a method called Train/Test. Train/Test is a method to measure the accuracy of your model. Regularized Regression Models Linear Regression Bagging and Boosting Logistic Regression Naïve Bayes Random Forest K-Means Clustering Decision Tree
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