
ratingsÂ
In this course, you will learn everything there is to know about kNN and see it in action on a dataset as well.
FREE
Course Access
Unlimited Duration
Last Updated
August 9, 2021
Students Enrolled
25
Total Reviews
Posted by
Certification
K Nearest Neighbors, one of the most basic Machine Learning algorithms, is a must in your ML algorithms toolbox. It is a classification Talgorithm that assigns labels to the unlabeled data using the nearest labeled instances in the feature space.
You will be learning everything you need to know regarding kNN including seeing it in action on a real-world dataset as well. There will be quizzes and assignments along the way to reinforce your learning as well. Let’s go over the various sections in this course:
- Introduction to kNN
- Math Behind kNN
- Implementing kNN in Python from Scratch
- K-Optimization
- kNN in Scikit-Learn
- Practical Use Cases
- Conclusion
- Deploy on Docker
- Take-home Assignment for you
Course Curriculum
-
- Introduction to kNN FREE Unlimited
- Quiz 1 00:05:00
-
- Math Behind kNN FREE Unlimited
- Quiz 2 00:05:00
- Implementing kNN from Scratch Unlimited
- Quiz 3 00:05:00
- kNN in Scikit-Learn FREE Unlimited
- Quiz 5 00:05:00
- Take home assigment FREE Unlimited
Course Reviews

4
4
1937
Students
About Instructor
Course Events
[wplms_eventon_events]
More Courses by Insturctor
{"title":"","show_title":"0","post_type":"course","taxonomy":"","term":"0","post_ids":"","course_style":"rated","featured_style":"generic","masonry":"","grid_columns":"clear1 col-md-12","column_width":"268","gutter":"30","grid_number":"2","infinite":"","pagination":"","grid_excerpt_length":"100","grid_link":"1","grid_search":"0","course_type":"","css_class":"","container_css":"","custom_css":""}