Description
Bayesian Machine Learning in Python: A/B Testing is the name of the visual training collection in the field of data science development. This training course is specifically dedicated to A/B testing. A course that will help you do the best possible online marketing and advertising with data analysis. By learning the concepts of A/B testing, you will actually prepare yourself to compare elements in a project. At the end of this course, you can explain your choices to others by presenting data and statistics in your work.
No additional discussions are included in this training course. In fact, as a student of this course, you will be constantly learning practical concepts and you will never get lost throughout this course. During this course, you will get to know different algorithms in A/B testing. On the other hand, the application of all these algorithms will be well taught to you. Finally, by watching this course, you will go towards doing A/B testing with the help of machine learning (Machine Learning) from the ground up professionally.
Features of the course Bayesian Machine Learning in Python: A/B Testing
- Understand and familiarize yourself with the reason for using A/B testing
- Getting to know the types of A/B test algorithms
- Understanding the types of differences among machine learning data
- Familiarity with the Bayesian method and its use in conducting tests
- And…
Course details:
- Publisher: Udemy
- teacher: Lazy Programmer Inc.
- Duration: 10 hours and 24 minutes
- Number of courses: 79
- English language
At the beginning of the semesters on 5/2024
Prerequisites for Bayesian Machine Learning in Python: A/B Testing
- Probability (joint, marginal, conditional distributions, continuous and discrete random variables, PDF, PMF, CDF)
- Python coding with the Numpy stack
Pictures
Sample video
Installation guide
After extracting, watch with your favorite player.
English subtitle
Quality: 1080p
Changes:
The 2021/1 version has increased the number of 2 lessons and about 50 minutes compared to 2020/8.
The version of 2022/11 compared to 2021/1 has increased the number of 1 lesson and the duration of 9 minutes. Also, the course quality has been increased from 720p to 1080p.
download link
File(s) password: www.downloadly.ir
Size
2.68 GB
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