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KNN Algorithm Guide: Implementation & Applications

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** Python for Data Science: https://www.edureka.co/python ** This Edureka tutorial on KNN Algorithm will help you to build your base by covering the theoretical, mathematical and implementation part of the KNN algorithm in Python. Topics covered under this tutorial includes: 1. What is KNN Algorithm? 2. Industrial Use case of KNN Algorithm 3. How things are predicted using KNN Algorithm 4. How to choose the value of K? 5. KNN Algorithm Using Python 6. Implementation of KNN Algorithm from scratch Check out our playlist: http://bit.ly/2taym8X

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Copyright © 2017, edureka and/or its affiliates. All rights reserved.
Copyright © 2017, edureka and/or its affiliates. All rights reserved. KNN Algorithm
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
“K Nearest Neighbour is 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?
What is K in KNN Algorithm? K = Number of Nearest Neighbors
Industrial Application of KNN Algorithm Copyright © 2018, edureka and/or its affiliates. All rights reserved.
Industrial Application of KNN Algorithm Copyright © 2018, edureka and/or its affiliates. All rights reserved.
How does a KNN Algorithm work? CLASS A CLASS B
How does a KNN Algorithm work? CLASS A CLASS B
How does a KNN Algorithm work? CLASS A CLASS B K= 3
How does a KNN Algorithm work? CLASS A CLASS B K= 6
How to choose the value of K
How things are predicted using KNN Algorithm? Euclidean Distance
How things are predicted using KNN Algorithm? Manhattan Distance
How things are predicted using KNN Algorithm? Manhattan Distance vs Euclidean Distance
Why KNN Algorithm is a ?
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.
Iris Dataset
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
Copyright © 2017, edureka and/or its affiliates. All rights reserved.

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KNN Algorithm Guide: Implementation & Applications

  • 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 Neighbour is 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 K in 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 a KNN Algorithm work? CLASS A CLASS B
  • 9. How does a KNN Algorithm work? CLASS A CLASS B
  • 10. How does a KNN Algorithm work? CLASS A CLASS B K= 3
  • 11. How does a KNN Algorithm work? CLASS A CLASS B K= 6
  • 12. How to choose the value of K
  • 13. How things are predicted using KNN Algorithm? Euclidean Distance
  • 14. How things are predicted using KNN Algorithm? Manhattan Distance
  • 15. How things are predicted using KNN Algorithm? Manhattan Distance vs Euclidean Distance
  • 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.
  • 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.