Machine learning is a data analytics technique that teaches computers to do what comes naturally to humans and learn from experience. Machine learning algorithms use computational methods to learn information directly from data without relying on a predetermined equation as a model. The algorithms adaptively improve their performance as the number of samples available for learning increases.
Topics - covered in the course
Learn what is Machine Learning
Find out where Machine Learning is applied in Technology and Science.
Machine Learning Techniques
Code your own decision tree in python
Learn the formulas for entropy and information gain and how to calculate them
Implement a mini project where you identify the authors in a body of emails using a decision tree in Python
Decide how to pick the right Machine Learning Algorithm among K-Means, Adaboost, and Decision Trees
Apply your Machine Learning knowledge by looking for patterns in the Enron Email Dataset.