Скачать или смотреть #1 Introduction and Applications | ML Classification : Fraud Detection

This section will cover introduction to classification in Machine Learning: Fraud detection


For each video:
Classification from a point of view of crisp DM approach exploring:
1. Introduction
2. Types of classification tasks
3. Business and data understanding
4. Data exploration
5. Modelling
6. Evaluation metrics

7. Conclusion and summary


Link to project:https://github.com/vgaurav3011/Credit...
Links to Resources:
Outlier detection: https://blog.glugmvit.com/outlier/
Evaluation metrics: https://vipulgaurav.github.io/2020/05...
For a brief idea regarding pre requisite mathematics do go through:
https://vipulgaurav.github.io/2020/04...


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Speaker:
Vipul gaurav
[email protected]

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