Chapters

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Posted by: Jaspreet

Last Updated on: 03 Oct, 2022


ML-DL: Classification

Chapters

Table of Contents

  1. Fundamentals
  2. Evaluation
  3. Guidelines

Evaluation

  1. Understanding AUC - ROC Curves : Bhavesh Bhatt
  2. Understanding Precision Recall in business context : StackExchange
  3. Precision & Recall
    1. Distinction Between Precision & Recall : JaspreetBlogs.in
    2. Accuracy, Precision, Recall & F1-Score : Bhavesh Bhatt
  4. Confusion Matrix : Bhavesh Bhatt

Guidelines

  1. How to Deal With Imbalanced Classification and Regression Data : Neptune.AI
  2. Classification in ML: Lessons Learned From Building and Deploying a Large-Scale Model