3.77 out of 5
3.77
27 reviews on Udemy

Fast track to ML, Data Science and Steganography

Standard measures / metrics of ML, Data Science & Steganography
Instructor:
Dipnarayan Das
6,853 students enrolled
English [Auto]
General / Statistical Measures
Data Science measures / metrics
Machine Learning measures / metrics
Steganography measures / metrics

Guide:

Aanchal Singhal

This is a brand new Machine Learning, Data Science, and Steganography based course updated with the latest trends and skills!

This is the first course in Udemy which will provide you detailed information about Steganography.

The topics covered in this course are:

– General / Statistical Measures

– Data Science Measures

– Machine Learning Measures / Performance metrics

– Steganography Measures / Metrics

Like every presentation need the final touch, this course will cover your gaps in Data Science, Machine Learning, and also in the newly trending topic Steganography. By the end of this course, you can be a Machine Learning, Data Scientist, Steganography expert, and can be get hired at large companies. This course will straight forward deliver rich information to users. Whether you are new to programming, or want to level up your Data Science skills, or are coming from a different industry, this course is for you. Machine Learning has applications in Business Marketing and Finance, Healthcare, Cybersecurity, Retail, Transportation and Logistics, Agriculture, Internet of Things, Gaming and Entertainment, Patient Diagnosis, Fraud Detection, Anomaly Detection in Manufacturing, Government, Academia/Research, Recommendation Systems and so much more. The skills learned in this course are going to give you a lot of options for your career.

See you inside the course!

Introduction

1
Introduction
2
Course Structure

General | Statistical Measures | Performance metrics

1
General / Statistical Measure's Index
2
Confusion Matrix
3
Sensitivity
4
Precision
5
Specificity
6
PPV & NPV
7
Fall out
8
FDR
9
Miss Rate
10
Accuracy
11
F-score
12
Centrality measure
13
Mean
14
Median
15
Mode
16
Spread / Dispersion Measure
17
Range
18
Variance
19
Standard Deviation

Data Science Measures

1
Data Science Measure's Index
2
Grouping
3
Cross tab
4
Pivot table
5
Imputation
6
Data filling Algorithm
7
Outlier Detection

Machine Learning Performance metrics

1
Machine Learning Measure's Index
2
MCC
3
Box plot
4
Radar plot
5
ROC-AUC

Steganography Metrics

1
Steganography Measure's Index
2
Histogram
3
MSE
4
PSNR
5
SSIM
6
Chi-square
7
RS Analysis
8
StegExpose
9
Embedded Capacity
10
FOBP
11
Bit Rate

Conclusion

1
Conclusion
You can view and review the lecture materials indefinitely, like an on-demand channel.
Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don't have an internet connection, some instructors also let their students download course lectures. That's up to the instructor though, so make sure you get on their good side!
3.8
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27 Ratings

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1 hours on-demand video
Full lifetime access
Access on mobile and TV
Certificate of Completion
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