How we can handle over fitting in machine learning model



I am working on a model, the model is about prediction of monthly energy consumption…
Can anyone help me to resolve over fitting in my model.


There are so many ways to deal with overfitting and underfitting of data with machine learning algorithms. It’s important to try to fix this since it will effect the performance of your model.

There is a great article by Jason Brownlee from Machine Learning Mastery which talks about generalisation, statistical fit, how to recognise overfitted and underfitted models and what is a good fit in machine learning.