Fast track to ML, Data Science and Steganography
4.5 (9 ratings)
Course Ratings are calculated from individual students’ ratings and a variety of other signals, like age of rating and reliability, to ensure that they reflect course quality fairly and accurately.
3,461 students enrolled

Fast track to ML, Data Science and Steganography

Standard measures / metrics of ML, Data Science & Steganography
New
4.5 (9 ratings)
Course Ratings are calculated from individual students’ ratings and a variety of other signals, like age of rating and reliability, to ensure that they reflect course quality fairly and accurately.
3,489 students enrolled
Created by Dipnarayan Das
Last updated 6/2020
English
English [Auto]
Current price: $139.99 Original price: $199.99 Discount: 30% off
5 hours left at this price!
30-Day Money-Back Guarantee
This course includes
  • 39 mins on-demand video
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of Completion
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What you'll learn
  • General / Statistical Measures
  • Data Science measures / metrics
  • Machine Learning measures / metrics
  • Steganography measures / metrics
Requirements
  • For Machine Learning metrices basics of ML should be cleared
  • For Steganography, basic Cryptography and Image Processing should be known
Description

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!

Who this course is for:
  • Data Science Enthusiast
  • Machine Learning Enthusiast
  • Image Processing Enthusiast
  • Cryptography Enthusiast
  • Statistics enthusiast
Course content
Expand all 45 lectures 38:51
+ General | Statistical Measures | Performance metrics
19 lectures 17:03
General / Statistical Measure's Index
00:26
Confusion Matrix
03:32
Sensitivity
00:26
Precision
00:21
Specificity
00:35
PPV & NPV
00:33
Fall out
00:26
FDR
01:26
Miss Rate
00:24
Accuracy
00:28
F-score
02:58
Centrality measure
00:17
Mean
00:56
Median
00:56
Mode
00:27
Spread / Dispersion Measure
00:31
Range
00:38
Variance
00:57
Standard Deviation
00:46
+ Data Science Measures
7 lectures 05:46
Data Science Measure's Index
00:20
Grouping
00:29
Cross tab
00:42
Pivot table
00:36
Imputation
01:44
Data filling Algorithm
00:20
Outlier Detection
01:35
+ Machine Learning Performance metrics
5 lectures 05:38
Machine Learning Measure's Index
00:17
MCC
01:15
Box plot
00:51
Radar plot
00:21
ROC-AUC
02:54
+ Steganography Metrics
11 lectures 07:35
Steganography Measure's Index
00:11
Histogram
00:29
MSE
01:04
PSNR
01:22
SSIM
01:17
Chi-square
00:37
RS Analysis
00:36
StegExpose
00:43
Embedded Capacity
00:18
FOBP
00:36
Bit Rate
00:22