I have a Bachelors degree and doing MBA degree in Buisness Analytics and I’ve worked on machine learning systems for startups, and severe forecasting.
I started this community for two main reasons:
1) Because I find machine learning endlessly fascinating.
2) Because I want to help developers get started and get good at applied machine learning.
I see a lot of developers not getting started, “getting ready” to get started, and generally studying the wrong things, and I think it is a huge waste of time.
I created this site to show developers another way.
Please connect with me or follow me on: Linkedin
Random Forest Random Forest is a Machine Learning Algorithm based on Decision Trees. Random forest works on the ensemble method which is very common these days. The ensemble method means that to make a decision collectively based on the decision trees. Actually, we make a prediction, not simply based on One Decision Tree, but by an unanimous Prediction, made by ‘ K’ Decision Trees. Why should we use There are four reasons why should we us e the random forest algorithm. The one is that it can be used for both classification and regression businesses. Overfitting is one critical problem that may make the results worse, but for the Random Forest algorithm, if there are enough trees in the forest, the classifier won’t overfit the model. The third reason is the classifier of Random Forest can handle missing values , and the last advantage is that the Random Forest classifier can be modeled for categorical values. How does the Random...
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