Intro to Data Science - Prediction with Supervised Methods
In this course, data science goals and its methods are introduced. Some supervised techniques along with performance metrics will be covered including Logistic Regression, Decision Trees and Neural Networks.
Completing this course will help you:
Understand the main purpose of the classification algorithms and their main differences
Describe and use the basic supervised algorithms
Learn how to split the data and use it to train the models
Learn how to measure the performance of used model for the given problem
Learn how to compare the different algorithms and choose the best one