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ReadMe.md

Title	Author	Date
Day 10 of 30 Day Of ML Code Event	Rajendrasinh Parmar	August 12, 2021

Day 10 of 30 Days Of ML Code

In this lesson there are following concepts

Overfitting - When we capture patterns and train the model with so many small chunks of data, It'll try to predict the value for the new data from the learned models and it'll be always near to the values already known. This is called over fitting. This gives inaccurate results and are not so useful.
Underfitting - When we capture patterns and train the model with very small number of chunks with so many different verity of data present in a single chunks, the model will not fit properly and will provide inaccurate results.

Follow the notebook Overfitting and Underfitting for lesson details.

The associated exercise with the fifth lesson of the course is provided in Exercise: Underfitting and Overfitting

In this lesson we learn the RandomForestRegressor from sklearn library.

Follow the notebook Random Forests for lesson details.

The associated exercise with the sixth lesson of the course is provided in Exercise: Random Forests