Machine Learning Tutorial - Basic sklearn Random Forest model
Channel: Kunaal Naik | Data Science Masterminds
Date: 2020-04-08

scikit learn's Random Forest algorithm is a popular modelling technique for getting accurate models. It uses Decision Trees as a base and grows many small trees using random rows and a random column. Hence the name Random Forest. The Random Forest tend to overfit models. Which is where we use various hyperparameters to tune the model to get a good bias and variance balance. 

In this video example, we cover the basic of building a Random Forest Model and checking it accuracy on Diabetes Dataset from Kaggle.

Kaggle Kernel: https://www.kaggle.com/funxexcel/p1-basic-sklearn-randon-forest-model
GitHub Link: https://github.com/KunaalNaik/YouTube-Working-Files/tree/master/Machine%20Learning/sklearn

#sklearn #machinelearning #randomforest