“A graphical representation of all possible solutions to a decision based on a certain condition”. A decision tree is one of the supervised machine learning algorithms. This algorithm can be used for regression and classification problems — yet, is mostly used for classification problems. A decision tree follows a set of if-else conditions to visualize the data and classify it according to…
Machine learning provides computers with the ability to learn without being explicitly programmed. It is basically advanced statistics that computers can perform a bazillion (real number) times faster than human beings. Machine Learning as a way of writing programs whose business logic is generated from input data. We feed data to the algorithm and the…
Recently, I was implementing a Random Forest regressor when I faced the classical question: Should I implement data normalization? Before going into the depth of the topic, we will try to understand what normalization is. Normalization The goal of normalization is to change the values of numeric columns in the dataset to a common…
