Machine Learning


Linear Regression Regularized Regression Models 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. Clustering Classification Classification method is one of the supervised machine learning methods where the outcome is discrete. Bagging and Boosting Naïve Bayes Logistic Regression Model Selection Model Selection is the process of selecting the best machine learning model among the list of models based on different evaluation metrics. Data Mining Data Mining is a method of sifting through massive data sets to discover meaningful pattern. Decision Tree K-Means Clustering Random Forest
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