How to fine-tune the Machine Learning Models?

  • publish date : 2020/11/10



In your practical experience, which techniques worked better to improve the accuracy of your machine learning model?
You are welcome to share your experience in the comments:

Some of the suggested techniques:

1. Adding more data
2. Data Cleaning
3. Feature Engineering
4. Algorithm tuning
5. Ensemble methods
6. Handling Imbalanced Data
7. Tune Hyperparameters
8. Regularization & Dimensionality Reduction

You can see the submitted comments in the original link: