Course Information
Registration period
Year-round Recruitment
Course Level
Study Mode
Duration
4 Hour(s) 16 Minute(s)
Language
English
Taught by
Scien Click
Rating
Course Overview
Master Scikit-Learn for Real-World ML
If you're a data scientist looking to take your machine learning skills to the next level, this course is for you. Unlike other courses that cover a broad range of topics, this course is specifically designed to provide you with a comprehensive understanding of Scikit-Learn and its most useful features.
In addition to covering the basics of Scikit-Learn, this course will dive deep into topics such as cross-validation techniques, customized metrics, hyperparameter tuning, feature engineering, and pipelines. You'll not only learn how to build models but also how to optimize them for real-world applications.
As someone who struggled to find the right course on Scikit-Learn, I created this course with the intention of filling the gap and providing a resource that I wished I had access to. By the end of this course, you'll have a mastery of Scikit-Learn that will set you apart as a skilled and knowledgeable data scientist. Whether you're just starting out or you're an experienced practitioner, this course has something for everyone. Join me on this exciting journey to master Scikit-Learn and take your machine learning skills to the next level!
Throughout this course, you'll learn many tips and tricks for working with Scikit-Learn that are often overlooked in other courses. For example, you'll learn how to use pipelines to streamline your machine learning workflow and ensure that your data is processed consistently. You'll also learn how to use custom metrics to evaluate the performance of your models more effectively, and how to use hyperparameter tuning to optimize your model parameters for better performance. Additionally, you'll learn advanced techniques for feature engineering, including creating interaction terms and polynomial features, as well as for dealing with missing data. By the end of this course, you'll not only have a deep understanding of Scikit-Learn but also a toolbox of techniques and strategies for building better machine learning models.
Course Content
- 5 section(s)
- 16 lecture(s)
- Section 1 Course Overview
- Section 2 data in Scikit-Learn
- Section 3 model selection and validation
- Section 4 Feature Engineering
- Section 5 Pipelines
What You’ll Learn
- Master the art of creating efficient pipelines for your machine learning models, and streamline your workflow to save time and improve productivity.
- Acquire a comprehensive knowledge of the various ML tools available at your disposal, and learn how to leverage them to gain a competitive edge in the field.
- Familiarize yourself with the best practices and industry standards in machine learning, and develop the skills to build robust and scalable ML models.
- This course will equipt you with the skills and knowledge to validate your ML models with confidence.
- Explore advanced techniques for optimizing and fine-tuning your ML models, taking your data analysis to the next level.
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Skills covered in this course
Reviews
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SSamuel Aboud
Very nice use of functions and libraries, easy to get started, though lacking a bit more of the intuitive explanations of underlying data structures and why certain methods are used.
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TTirthankar Dutta
1. Instructor should provide better and in-depth explanations for using sklearn commands instead of being so "overviwish" - If not interested in details, he should attach docs/refs. 2. The instructor needs to use good quality audio, especially since he is a soft speaker. 3. Chapters/sessions are wrongly placed - For example, Sec-4 should be Sec-2 and Sec-5 should be Sec-3, especially since he makes heavy use of `sklearn.pipeline.make_pipeline` command. In short, this "cookbook" styled course could have been much better!
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MMahdi Ramezanian
I have had some scikit learn course before, they are all lengthy and repetitive, I was looking for a course that is right to the point, teaching the headlines I was looking for. This course is tailored to my needs. Topics and headlines are right to the point. It seems the instructor has reviewed available course and picked the essence of what should be taught. Highly recommended.
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NNabat Farsi
It promises what it suggests. Good course.
