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KNN Algorithm using Python | How KNN Algorithm works | Python Data Science Training | Edureka
The document discusses the K-Nearest Neighbors (KNN) algorithm, which classifies new data based on similarity to existing cases. It covers topics such as choosing the value of 'k', industrial applications, and implementation in Python, alongside methods to predict outcomes using different distance metrics like Euclidean and Manhattan distances. The process of handling data, including dataset preparation and evaluating prediction accuracy, is also outlined.
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KNN Algorithm using Python | How KNN Algorithm works | Python Data Science Training | Edureka
- 1. Copyright © 2017,edureka and/or its affiliates. All rights reserved.
- 2. Copyright © 2017,edureka and/or its affiliates. All rights reserved. KNN Algorithm
- 3. Copyright © 2017,edureka and/or its affiliates. All rights reserved. ▪ What is KNN Algorithm? ▪ Industrial Use case of KNN Algorithm ▪ How things are predicted using KNN Algorithm ▪ How to choose the value of K? ▪ KNN Algorithm Using Python ▪ Implementation of KNN Algorithm from scratch ▪ Compare the built model using scikit learn Agenda for Today’s Session
- 4. “K Nearest Neighbouris a simple algorithm that stores all the available cases and classifies the new data or case based on a similarity measure.”What is KNN Algorithm?
- 5. What is Kin KNN Algorithm? K = Number of Nearest Neighbors
- 6. Industrial Application of KNN Algorithm Copyright ©2018, edureka and/or its affiliates. All rights reserved.
- 7. Industrial Application of KNN Algorithm Copyright ©2018, edureka and/or its affiliates. All rights reserved.
- 8. How does aKNN Algorithm work? CLASS A CLASS B
- 9. How does aKNN Algorithm work? CLASS A CLASS B
- 10. How does aKNN Algorithm work? CLASS A CLASS B K= 3
- 11. How does aKNN Algorithm work? CLASS A CLASS B K= 6
- 12. How to choose thevalue of K
- 13. How things are predictedusing KNN Algorithm? Euclidean Distance
- 14. How things are predictedusing KNN Algorithm? Manhattan Distance
- 15. How things are predictedusing KNN Algorithm? Manhattan Distance vs Euclidean Distance
- 16.
- 17. Copyright © 2017,edureka and/or its affiliates. All rights reserved. DEMO Let’s learn to code © MadeByShape Ltd. Web Design Manchester 2018. All Rights Reserved.
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- 19. Copyright © 2017,edureka and/or its affiliates. All rights reserved. KNN: Step by Step Accuracy Summarizing the accuracy of predictions. Handle Data Open the dataset from CSV and split into test/train datasets. Main Tie it all together Neighbors Locate k most similar data instances Similarity Calculate the distance between two data instances Response Generate a response from a set of data instance
- 20. Copyright © 2017,edureka and/or its affiliates. All rights reserved.