This is an implementation of a full machine learning classifier based on decision trees (in python using Jupyter notebook). It uses the dataset Mushroom Data Set to train and evaluate the classifier.

This is an implementation of a full machine learning classifier based on decision trees (in python using Jupyter notebook). It uses the dataset Mushroom Data Set to train and evaluate the classifier.

Start-Tech Academy’s course targets programmers with basic knowledge of languages. The course aims to help individuals understand decision tree algorithms, create a tree in Python, and solve business ...

Because the decision tree model was trained using normalized and encoded data, the x-input must be normalized and encoded in the same way. Notice the double square brackets on the x-input. The predict ...