Machine Learning Tutorial - Basic sklearn Random Forest model

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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.

#sklearn #machinelearning #randomforest

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KunaalNaik

Really helpful for a quick start to using the random forest! Much appreciated, sir

Jack-dxqb

Thanks for posting this. Great quick sum up

stefanotartaglia

Sir, You are explain very well, I have download same dataset from your link, "Target" column is not exists in the .csv file, Please help..

surajarya

Machine Learning Tutorial - Basic sklearn Random Forest model

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