Regularization techniques for reducing variance
Regularization is a technique used in machine learning to prevent overfitting and reduce variance in a model. Overfitting occurs when a model is excessively complex and has learned even the noise in the training data, which can negatively impact the ...
galacodes.hashnode.dev3 min read
Jay Oza
Artificial Intelligence | Kaggle Expert | Data Scientist | Machine Learning | K.J. Somaiya Institute of Technology | IIT Madras |
Awesome work Jay! Great blog about Regularization Techniques 🚀