Disclosure: when you buy through links on our site, we may earn an affiliate commission.

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.
/5
4 students
Created by Nouman Azam

8.6

CourseMarks Score®

9.3

Freshness

N/A

Feedback

7.4

Content

Platform: Simpliv Learning
Price: $9.99
Video: 5h3m
Language: English
Next start: On Demand

Top Machine Learning courses:

Detailed Analysis

CourseMarks Score®

8.6 / 10

CourseMarks Score® helps students to find the best classes. We aggregate 18 factors, including freshness, student feedback and content diversity.

Freshness Score

9.3 / 10
This course was last updated on 09/2020.

Course content can become outdated quite quickly. After analysing 71,530 courses, we found that the highest rated courses are updated every year. If a course has not been updated for more than 2 years, you should carefully evaluate the course before enrolling.

Student Feedback

We analyzed factors such as the rating and the ratio between the number of reviews and the number of students, which is a great signal of student commitment. If a course does not yet have a rating, we exclude Feedback Score from the overall CourseMarks Score.

New courses are hard to evaluate because there are no or just a few student ratings, but Student Feedback Score helps you find great courses even with fewer reviews.

Content Score

7.4 / 10
Video Score: 7.6 / 10
The course includes 5h3m video content. Courses with more videos usually have a higher average rating. We have found that the sweet spot is 16 hours of video, which is long enough to teach a topic comprehensively, but not overwhelming. Courses over 16 hours of video gets the maximum score.
The average video length is 6 hours 15 minutes of 454 Machine Learning courses on Simpliv Learning.
Detail Score: 9.2 / 10

The top online course contains a detailed description of the course, what you will learn and also a detailed description about the instructor.

Extra Content Score: 5.5 / 10

Tests, exercises, articles and other resources help students to better understand and deepen their understanding of the topic.

This course contains:

0 article.
0 resource.
0 exercise.
0 test.

Table of contents

Description

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
Your Benefits and Advantages:

If you do not find the course useful, you are covered with 20 days money back guarantee, full refund, no questions asked!

You will be sure of receiving quality contents since the instructors has already many courses on Data Science on Simpliv
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.

It’s time to take Action!

Click the “Take This Course” button at the top right now!

..Time is limited and Every second of every day is valuable…

We are excited to see you in the course!

Best Regards,

Dr. Nouman Azam

Who this course is for:

Data Scientists, Researchers, Entrepreneurs, Instructors, College Students, Engineers and Programmers
Anyone who want to analyze the data
Basic knowledge
You should have a little know how of python and jupytor
Python must be installed on your computer

Requirements

• You should have a little know how of python and jupytor
• Python must be installed on your computer

You will learn

What will you 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

This course is for

• Data Scientists, Researchers, Entrepreneurs, Instructors, College Students, Engineers and Programmers
• Anyone who want to analyze the data

How much does the Master Clustering Analysis For Data Science Using Python course cost? Is it worth it?

The course costs $9.99. And currently there is a 80% discount on the original price of the course, which was $49.99. So you save $40 if you enroll the course now.
The average price is $17.2 of 454 Machine Learning courses. So this course is -42% more expensive than the average Machine Learning course on Simpliv Learning.

Does the Master Clustering Analysis For Data Science Using Python course have a money back guarantee or refund policy?

YES, Master Clustering Analysis For Data Science Using Python has a 20-day money back guarantee. The 20-day refund policy is designed to allow students to study without risk.

Are there any SCHOLARSHIPS for this course?

Currently we could not find a scholarship for the Master Clustering Analysis For Data Science Using Python course, but there is a $40 discount from the original price ($49.99). So the current price is just $9.99.

Who is the instructor? Is Nouman Azam a SCAM or a TRUSTED instructor?

Nouman Azam has created 9 courses that got 4 reviews which are generally positive. Nouman Azam has taught 157 students and received a 5.0 average review out of 4 reviews. Depending on the information available, Nouman Azam is a TRUSTED instructor.

More info about the instructor, Nouman Azam

Assistant Professor at the Department of Computer Science, National University of Computer and Emerging Sciences; Dr. Nouman Azam brings over a decade of experience in research and teaching. He researches on the areas of machine learning techniques in application areas such as bioinformatics, text summarization, text categorization, email filtering, security, recommender systems and medical decision making.

Academic all along, Nouman applied different machine learning techniques to select notable features in spam email filtering for his Master’s thesis, while for his doctoral thesis, he investigated the applications of machine learning techniques such as rough sets, game theory, genetic algorithms, gradient descent and others to learn and extract data patterns.

MATLAB has been Nouman’s primary choice for implementing ideas and converting his code to meaningful software. In fact, he used this high-performance language to implement all the codes of his Masters and Doctoral thesis. His interests on the theoretical side include applying the theories of rough sets, game theory, optimization and conflict analysis to machine learning tasks.

He has been involved of late in teaching many machine learning-related courses at the undergraduate and graduate levels.

8.6

CourseMarks Score®

9.3

Freshness

N/A

Feedback

7.4

Content

Platform: Simpliv Learning
Price: $9.99
Video: 5h3m
Language: English
Next start: On Demand

Students are also interested in

Other courses by ​Nouman Azam

Get this widget on your website (for course creators):

Master Clustering Analysis For Data Science Using Python rating
Copy this code and paste it to your website:
<a href="https://coursemarks.com/course/master-clustering-analysis-for-data-science-using-python-2/" target="_blank" title="Master Clustering Analysis For Data Science Using Python on Coursemarks.com"><img border="0" src="https://coursemarks.com/widget/87.svg" width="200px" alt="Master Clustering Analysis For Data Science Using Python rating"/></a>