Originally published on Towards AI. Data Analysis Project with Pandas — Step-by-Step Guide (Ted Talks Data) Data Analysis Project Guide — Use Pandas power to get valuable...

The course focuses on decision tree classifiers and random forest classifiers because most of the successful machine learning applications appear to be classification problems. Focusing on classification problems, the course uses the DecisionTreeClassifier and RandomForestClassifier methods of Python's Scikit-learn library. It prepares you for using decision trees and random forests to make predictions and understanding the predictive structure of data sets. This course is for people who want to use decision trees or random forests for prediction with Scikit-learn. This requires practical experience and the course facilitates you with Jupyter notebooks to review and practice the lessons' topics.