Loss Functions - Machine Learning

From scratch implementation of the most used Loss Functions in ML and comparison of their results with the built-in modules in Pytorch and Tensorflow Libraries

Regression Metrics:

1. MAE
2. MAPE
3. MSE
4. MSLE

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Classification Metrics:

1. Basic Metrics
   • Accuracy
   • Precision
   • Recall
   • F1 Score
   • Specificity
2. Cross Entropy
3. R^2 Score