Master Feature Selection for Machine Learning using Python
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6 students enrolled
Created by
ADL .
Published 10/2019
English
English [Auto-generated]
Current priceRp182,000
Original PriceRp280,000
Discount35% off
11 hours left at this price!
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This course includes
- 5.5 ho
- urs on-demand video
- 12 articles
- 22 downloadable resources
- Full lifetime access
- Access on mobile and TV
- Certificate of Completion
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What you'll learn
- Learn and Implement different methods of feature selection
- Reduce feature by analysing and understanding the dataset
- Build simpler, faster and more robust machine learning models
From beginner to advanced
Learn how to select most important features and build simpler and more robust machine learning models.
The course covers various ways of Feature Selection in complete Detail, Below are the Major categories of Methods covered:-
1. Filter Methods
2. Wrapper Methods
3. Embedded Methods
4. Genetic Algorithm
5. Other Advance Methods
The videos include full code written in Python 3 (Jupyter notebook) that you can directly apply to your own data sets.
So what are you waiting for? Go Click on Buy Now and Lets start the Journey of Feature Selection.
See you inside the Course.
ADL
Learn how to select most important features and build simpler and more robust machine learning models.
The course covers various ways of Feature Selection in complete Detail, Below are the Major categories of Methods covered:-
1. Filter Methods
2. Wrapper Methods
3. Embedded Methods
4. Genetic Algorithm
5. Other Advance Methods
The videos include full code written in Python 3 (Jupyter notebook) that you can directly apply to your own data sets.
So what are you waiting for? Go Click on Buy Now and Lets start the Journey of Feature Selection.
See you inside the Course.
ADL
Who this course is for:
- Beginner Data Scientists who are willing to learn feature selection for machine learning.
- Intermediate Data Scientists who want to enhance up their knowledge in feature selection for machine learning
- Data analysts/ Data Scientists who want to improve upon their skills.
- Advanced Data Scientists who want to learn alternative methods for feature selection
- Software engineers willing to switch careers into data science
- Anyone new to the Field of Data Science and Machine Learning
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