Master Clustering Analysis for Data Science using Python

This course is for you if you want to have a real feel of the clustering algorithms without having to learn all the complicated maths. Additionally, this course is also for you if you have had previous hours and hours of classroom theory on the subject but could never get a chance or figure out how to implement and solve data science problems with it. 

The approach in this course is very practical and we will start everything from very scratch. We will immediately start coding after a couple of introductory tutorials and we try to keep the theory to a bare minimum. All the coding will be done in Python which is one of the fundamental programming languages for engineers and science students and is frequently used by top data science research groups worldwide. 

Course outline:

• Segment 1: Introduction to the course.
• Segment 2: KMeans Clustering.
• Segment 3: Mean Shift Clustering.
• Segment 4: DBSCAN Clustering.
• Segment 5: Hierarchical Clustering.
• Segment 6: HDBSCAN Clustering.
• Segment 7: Applications of Clustering.

Benefits and Advantages:

• If you do not find the course useful, you are covered with a 30-day money-back guarantee, full refund, no questions asked!

• You will be sure of receiving quality content since the instructors have already many courses on Data Science on TutorialsPoint. 

• You have lifetime access to the course.

• You have instant and free access to any updates I add to the course.

• You have access to all Questions and discussions initiated by other students.

• You will receive my support regarding any issues related to the course.

• Check out the curriculum and Freely available lectures for a quick insight.