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The Mastering Mathematics Training Prep Bundle

Name: The Mastering Mathematics Training Prep Bundle
Brand: Nouman Azam
Price: 29.99 USD
Availability: InStock
Rating: 4.3 (3 reviews)

3 Reviews

941 Enrolled

10 Courses & 96 Hours

Deal Price$29.99

Suggested Price

$100.00

You save 70%

🔥 500+ Sold! Selling Fast

What's Included

$10.00 Value

Master Clustering Analysis for Data Science Using MATLAB

Nouman Azam

26 Lessons (4h)

Lifetime

Experience level required: All levels
Access 26 lectures & 4 hours of content 24/7
Length of time users can access this course: Lifetime

Course Curriculum

26 Lessons (4h)

Your First Program
Preview
Course Introduction
Introduction to the course4:07
Code and Data used in the course
Kmeans Clustering
1 - KMeans intuition12:18
2 - Choosing the right number of clusters15:35
3 - KMeans in MATLAB (Part 1)21:15
4 - KMeans in MATLAB (Part 2)12:57
5 - KMeans Limitations - (Part 1-Clusters with different sizes)10:30
6 - KMeans Limitations - (Part-2-Clusters with non spherical shapes)9:33
7 - KMeans Limitations - (Part 3-Clusters with varying densities)5:33
Mean Shift Clustering
1 - Intuition of Mean Shift9:23
2 - Mean Shift in Python10:46
3 - Mean Shift Performance in Cases where Kmean Fails (Part 1)7:17
4 - Mean Shift Performance in Cases where Kmean Fails (Part 2)12:21
DBSCAN Clustering
1 - Intuition of DBSCAN_DF9:21
2 - DBSCAN in matlab_DF114:39
3 - DBSCAN on clusters with varying sizes7:03
4 - DBSCAN on clusters with different shapes and densities10:57
5 - DBSCAN for handling noise7:14
6 - Practical Activity
Hierarchical Clustering
1 - Hierarchical Clustering Intuition (Part 1)_DF9:50
2 - Hierarchical Clustering Intuition (Part 2)_DF15:47
3 - Hierarchical Clustering in Matlab12:21
Applications of Clustering
1 - Image Compression (Part 1)12:43
2 - Image Compression (Part 2)7:29
3 - Clustering sentences (Part 1)14:08
4 - Clustering sentences (Part 2)11:02

Master Clustering Analysis for Data Science Using MATLAB

Nouman AzamNouman Azam | MATLAB Professor 4.4/5 Instructor Rating: ★ ★ ★ ★ ★ ★

Nouman Azam received his Ph.D. Degree in Computer Science from the University of Regina in 2014. Prior to that, he completed his M.Sc. in Computer Software Engineering from the National University of Sciences and Technology, Pakistan, and Bachelor's in Computer Sciences from National University of Computer and Emerging Sciences, Pakistan in 2007 and 2005, respectively

Nouman has over 10 years of teaching experience. He has taught almost all the major computer science subjects including introduction to computers, computer organization and architecture, operation systems, computer networks, image processing, digital logic design, discrete structures and many others. He has extensive knowledge of tools such as MATLAB, QTSpim, C++, Java and Other academic tools used for teaching and instructing purposes.

Description

Fully equip yourself with the art of applied machine learning using MATLAB. This course is also for you if you want to apply the most commonly used data preprocessing techniques without having to learn all the complicated maths. Additionally, this course is also for you if you have had previous hours and hours of machine learning implementation but could never figure out how to further improve the performance of the machine learning algorithms. By the end of this course, you will have at your fingertips, a vast variety of most commonly used data preprocessing techniques that you can use instantly to maximize your insight into your data set.

4.5/5 average rating: ★ ★ ★ ★ ★ ★

Access 26 lectures & 4 hours of content 24/7
Implement different machine learning classification algorithms using MATLAB
Process data before analysis
Know when & how to use dimensionality reduction
Take away code templates
See visualization results of algorithms
Decide which algorithm to choose for your dataset

Specs

Important Details

Length of time users can access this course: lifetime
Access options: desktop & mobile
Certificate of completion included
Redemption deadline: redeem your code within 30 days of purchase
Updates included
Experience level required: all levels
Have questions on how digital purchases work? Learn more here

Requirements

MATLAB 2017a or higher version. No prior knowledge of MATLAB is required

$10.00 Value

Precalculus

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Calculus 1 Mastered

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Number Theory

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QC051: Math Prerequisites for Quantum Computing

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Discrete Mathematics

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Terms

Unredeemed licenses can be returned for store credit within 30 days of purchase. Once your license is redeemed, all sales are final.

3 Reviews

4.3/ 5

All reviews are from verified purchasers collected after purchase.

Nicholas Padlosky

Verified Buyer

Good teaching styles and detailed instructions... I would buy again especially at reduced prices....

Mar 14, 2022

Holger Baxmann

Verified Buyer

Very good, full of urgently needed informations regarding ML/AI&Friends ... starting from my low-level knowledges about mathematics to really practically usefull learnings.

Aug 2, 2021

CHRISTOS SEITANIDIS

Verified Buyer

For everyone interesting in mastering Maths this is a great preparation bundle in various fields of the science! I am so much satisfied!

Jul 20, 2021

The Mastering Mathematics Training Prep Bundle

3 Reviews

941 Enrolled

10 Courses & 96 Hours

Deal Price$29.99

Suggested Price

$100.00

You save 70%

🔥 500+ Sold! Selling Fast

What's Included

$10.00 Value

Master Clustering Analysis for Data Science Using MATLAB

Nouman Azam

26 Lessons (4h)

Lifetime

Experience level required: All levels
Access 26 lectures & 4 hours of content 24/7
Length of time users can access this course: Lifetime

Course Curriculum

26 Lessons (4h)

Your First Program
Preview
Course Introduction
Introduction to the course4:07
Code and Data used in the course
Kmeans Clustering
1 - KMeans intuition12:18
2 - Choosing the right number of clusters15:35
3 - KMeans in MATLAB (Part 1)21:15
4 - KMeans in MATLAB (Part 2)12:57
5 - KMeans Limitations - (Part 1-Clusters with different sizes)10:30
6 - KMeans Limitations - (Part-2-Clusters with non spherical shapes)9:33
7 - KMeans Limitations - (Part 3-Clusters with varying densities)5:33
Mean Shift Clustering
1 - Intuition of Mean Shift9:23
2 - Mean Shift in Python10:46
3 - Mean Shift Performance in Cases where Kmean Fails (Part 1)7:17
4 - Mean Shift Performance in Cases where Kmean Fails (Part 2)12:21
DBSCAN Clustering
1 - Intuition of DBSCAN_DF9:21
2 - DBSCAN in matlab_DF114:39
3 - DBSCAN on clusters with varying sizes7:03
4 - DBSCAN on clusters with different shapes and densities10:57
5 - DBSCAN for handling noise7:14
6 - Practical Activity
Hierarchical Clustering
1 - Hierarchical Clustering Intuition (Part 1)_DF9:50
2 - Hierarchical Clustering Intuition (Part 2)_DF15:47
3 - Hierarchical Clustering in Matlab12:21
Applications of Clustering
1 - Image Compression (Part 1)12:43
2 - Image Compression (Part 2)7:29
3 - Clustering sentences (Part 1)14:08
4 - Clustering sentences (Part 2)11:02

Master Clustering Analysis for Data Science Using MATLAB

Description

4.5/5 average rating: ★ ★ ★ ★ ★ ★

Access 26 lectures & 4 hours of content 24/7
Implement different machine learning classification algorithms using MATLAB
Process data before analysis
Know when & how to use dimensionality reduction
Take away code templates
See visualization results of algorithms
Decide which algorithm to choose for your dataset

Specs

Important Details

Length of time users can access this course: lifetime
Access options: desktop & mobile
Certificate of completion included
Redemption deadline: redeem your code within 30 days of purchase
Updates included
Experience level required: all levels
Have questions on how digital purchases work? Learn more here

Requirements

MATLAB 2017a or higher version. No prior knowledge of MATLAB is required

$10.00 Value

Precalculus

Miran Fattah

118 Lessons (21h)

Lifetime

$10.00 Value

Calculus 1 Mastered

Miran Fattah

93 Lessons (16h)

Lifetime

$10.00 Value

Master Number Base Conversion

Miran Fattah

12 Lessons (1h)

Lifetime

$10.00 Value

Number Theory

Miran Fattah

63 Lessons (8h)

Lifetime

$10.00 Value

Graph Theory

Miran Fattah

66 Lessons (9h)

Lifetime

$10.00 Value

QC051: Math Prerequisites for Quantum Computing

Kumaresan Ramanathan

112 Lessons (4h)

Lifetime

$10.00 Value

Mathematical Foundation for Machine Learning & AI

Eduonix Learning Solutions

18 Lessons (4h)

Lifetime

$10.00 Value

Mathematics for Data Science & Machine Learning Using R

Eduonix Learning Solutions

65 Lessons (10h)

Lifetime

$10.00 Value

Discrete Mathematics

Miran Fattah

124 Lessons (19h)

Lifetime

Terms

Unredeemed licenses can be returned for store credit within 30 days of purchase. Once your license is redeemed, all sales are final.

3 Reviews

4.3/ 5

All reviews are from verified purchasers collected after purchase.

Nicholas Padlosky

Verified Buyer

Good teaching styles and detailed instructions... I would buy again especially at reduced prices....

Mar 14, 2022

Holger Baxmann

Verified Buyer

Very good, full of urgently needed informations regarding ML/AI&Friends ... starting from my low-level knowledges about mathematics to really practically usefull learnings.

Aug 2, 2021

CHRISTOS SEITANIDIS

Verified Buyer

For everyone interesting in mastering Maths this is a great preparation bundle in various fields of the science! I am so much satisfied!

Jul 20, 2021

The Mastering Mathematics Training Prep Bundle | StackSocial