Month: November 2016

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Hyperplane in SVM Algorithm
Improve Your ML Model Accuracy
Hyperparameters and Parameters …………………………………………………………………………………………………………………………………………………………..A Machine Learning model is defined as a mathematical model with a number of parameters that need to be learned from the data. By training a model with existing data, we are able to fit the model parameters.However, there is another kind of parameters, known Hyperparameters that cannot be directly learned from the regular training process. They are usually fixed before the actual training process begins. These parameters express important properties of the model such as its complexity or how fast it should learn.
Decision Tree Classifier in Python and Scikit-Learn
Descriptive Statistics: Expectations vs. Reality (Exploratory Data Analysis)