KNN Algorithm Using R | Edureka
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The document discusses the fundamentals of machine learning, highlighting the K-Nearest Neighbors (KNN) algorithm, a supervised learning method for classifying data points based on neighboring features. It describes different types of machine learning, including supervised, unsupervised, and reinforcement learning, and provides a use case for KNN in book recommendations and loan approvals. Additionally, it touches on concepts like data warehouses and OLAP for analytical processing.
KNN Algorithm Using R | Edureka
- 2. DATA SCIENCE CERTIFICATION www.edureka.co/data-science Agenda 32 41 5 Machine Learning What is KNN Algorithm? KNN Use Case Hands - On KNN Algorithm
- 3. DATA SCIENCE CERTIFICATION www.edureka.co/data-science Introduction To Machine Learning
- 4. Machine learning is a subset of artificial intelligence (AI) which provides machines the ability to learn automatically & improve from experience without being explicitly programmed. What Is Machine Learning? Continuously feed data
- 5. Machine learning is a subset of artificial intelligence (AI) which provides machines the ability to learn automatically & improve from experience without being explicitly programmed. What Is Machine Learning? Continuously feed data Predicted output
- 6. DATA SCIENCE CERTIFICATION www.edureka.co/data-science Types Of Machine Learning
- 7. Supervised Machine Learning Supervised Machine Learning is a learning in which we teach or train the machine using data which is well labelled.
- 8. Unsupervised learning is the training of machine using information that is unlabelled and allowing the algorithm to act on that information without guidance Unsupervised Machine Learning
- 9. Reinforcement Machine Learning Reinforcement Learning is a part of Machine learning where an agent is put in an environment and he learns to behave in this environment by performing certain actions and observing the rewards which it gets from those actions.
- 10. DATA SCIENCE CERTIFICATION www.edureka.co/data-science What Is KNN Algorithm?
- 11. DATA SCIENCE CERTIFICATION www.edureka.co/data-science What Is KNN Algorithm? K Nearest Neighbour is a Supervised Learning algorithm that classifies a new data point into the target class, depending on the features of it’s neighbouring data points. KNN Algorithm
- 12. DATA SCIENCE CERTIFICATION www.edureka.co/data-science Features Of KNN Supervised learning algorithm Simple Non-parametric Lazy algorithm Classification & regression algorithm Based on feature similarity No training step
- 13. DATA SCIENCE CERTIFICATION www.edureka.co/data-science KNN Use Case
- 14. DATA SCIENCE CERTIFICATION www.edureka.co/data-science Book Recommendation Using KNN
- 15. DATA SCIENCE CERTIFICATION www.edureka.co/data-science How KNN Algorithm Works?
- 16. DATA SCIENCE CERTIFICATION www.edureka.co/data-science How Does KNN Algorithm Work? Problem Statement: Assign the new data point into one of the two clusters Class A Class B
- 17. DATA SCIENCE CERTIFICATION www.edureka.co/data-science How Does KNN Algorithm Work? Class A Class B Choose the value of ‘k’, here k=3 and find the 3 nearest neighbours
- 18. DATA SCIENCE CERTIFICATION www.edureka.co/data-science How Does KNN Algorithm Work? Here k=7, find the 7 nearest neighbours Class A Class B
- 19. DATA SCIENCE CERTIFICATION www.edureka.co/data-science How Does KNN Algorithm Work? Assign the new data point into Class B since majority of it’s nearest neighbours are of type class B Class A Class B
- 20. DATA SCIENCE CERTIFICATION www.edureka.co/data-science Euclidian Distance 0 1 2 3 4 1 2 3 4 5 P1 P2 Point P1 = (1,4) Point P2 = (5,1) Euclidian distance = Calculations
- 21. DATA SCIENCE CERTIFICATION www.edureka.co/data-science Demo YouTube Video Link in the Description
- 22. DATA SCIENCE CERTIFICATION www.edureka.co/data-science Demo Problem Statement: Study a bank credit dataset and make a decision about whether to approve the loan of an applicant based on his profile KNN algorithm Approve loan Reject loan
- 23. DATA SCIENCE CERTIFICATION www.edureka.co/data-science WebDriver vs. IDE vs. RC ➢ Data Warehouse is like a relational database designed for analytical needs. ➢ It functions on the basis of OLAP (Online Analytical Processing). ➢ It is a central location where consolidated data from multiple locations (databases) are stored.