Master Clustering Analysis for Data Science using Python | Udemy


Master Clustering Analysis for Data Science using Python | Udemy
English | Size: 1.65 GB
Genre: eLearning

What you’ll learn
How to implement different clustering algorithms in python
How to handle issues of varying cluster sizes, densities, shapes and noise
When to use a specific algorithm
Take away code templates

Basic Course Description

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 got a change 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 bare minimal. All the coding will be done in Python which is one of the fundamental programming languages for engineer and science students and is frequently used by top data science research groups world wide.

Below is the brief outline of this course.

Segment 1: Introduction to 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

Who this course is for:
Data Scientists, Researchers, Entrepreneurs, Instructors, College Students, Engineers and Programmers
Anyone who want to analyze the data

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