Everything you need to know about K-Nearest Neighbors (kNN)

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