Feature Selection for Machine Learning (Udemy.com)
From beginner to advanced
Created by: Soledad Galli
Produced in 2021
What you will learn
- Understand different methods of feature selection
- Implement different methods of feature selection
- Reduce feature space in a dataset
- Build simpler, faster and more reliable machine learning models
- Analyse and understand the selected features
Quality Score
Overall Score : 90 / 100
Course Description
This is the most comprehensive, yet easy to follow, course for feature selection available online. Throughout this course you will learn a variety of techniques used worldwide for variable selection, gathered from data competition websites and white papers, blogs and forums, and from the instructor's experience as a Data Scientist.
You will have at your fingertips, altogether in one place, multiple methods that you can apply to select features from your data set.
The course starts describing simple and fast methods to quickly screen the data set and remove redundant and irrelevant features. Then it describes more complex techniques that select variables taking into account variable interaction, the feature importance and its interaction with the machine learning algorithm. Finally, it describes specific techniques used in data competitions and the industry.
The lectures include an explanation of the feature selection technique, the rationale to use it, and the advantages and limitations of the procedure. It also includes full code that you can take home and apply to your own data sets.
This course is therefore suitable for complete beginners in data science looking to learn how to go about to select features from a data set, as well as for intermediate and even advanced data scientists seeking to level up their skills.
With more than 50 lectures and 8 hours of video this comprehensive course covers every aspect of variable selection. Throughout the course you will use python as your main language.
So what are you waiting for? Enrol today, learn how to select variables for machine learning, and build simpler, faster and more reliable learning models.Who this course is for:
- Beginner Data Scientists who want to understand how to select variables for machine learning
- Intermediate Data Scientists who want to level up their experience in feature selection for machine learning
- Advanced Data Scientists who want to discover alternative methods for feature selection
- Software engineers and academics switching careers into data science
- Software engineers and academics stepping into data science
- Data analysts who want to level up their skills in data science
Instructor Details
- 4.5 Rating
48 Reviews
Soledad Galli
Soledad Galli is a Lead Data Science in Insurance and Finance. Soledad helped Finance and Insurance companies build Machine Learning models to assess Credit Risk and to prevent Fraud. Her work as a data scientist led Soledad to be the winner of the Data Leaders awards 2018 for data science and analytics.
Soledad Galli has an MSc in Biology, a PhD in Biochemistry and 8+ years of experience as a research scientist in well-known institutions like University College London and the Max Planck Institute. She has scientific publications in various fields such as Cancer Research and Neuroscience, and her research was covered by the media on multiple occasions.
Soledad has 4+ years of experience as an instructor in Biochemistry at the University of Buenos Aires, has taught seminars and tutorials at University College London, and mentored MSc and PhD students at Universities.
Soledad regularly shares Data Science and Machine Learning knowledge as a speaker in meetings and conferences for the Data Science Community, and through blogs, articles and online courses. She mentors students and professionals who want to step into and excel in Data Science.
Sole has recently created Train In Data, with the mission to facilitate and empower people and organisations worldwide step into and excel in data science and analytics.
Soledad is passionate about extracting information from data and transforming it into a meaningful story, helping Data Scientist step into
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Reviews
- Video Duration:
3.5h - Price: 11.99 Track Price 11.99 Track Price
- Provider:
Udemy - Year:
2021 - Language:
English - Certificate:
Yes
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