Random Forest Python Example from Scratch using SKLearn - [Deployment Included]

Опубликовано: 20 Январь 2021
на канале: Yiannis Pitsillides

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Learn how to run Decision Trees, Random Forest and eXtream Gradient Boost Trees in Python using SKLearn in Jupyter Notebooks. All the code is provided. We start with the problem formulation phase, then EDA phase, then running and evaluating different models. We also show how to adjust the hyperparameters of the models. At the end, we show how to deploy the model predictions in Power BI. Hope you enjoy this video!

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Video Part 1:
   • Decision Tree Algorithm in Machine Le...

Tutorial Overview:
How to run Random Forest Machine learning in Python SKLearn
How to run eXtream Gradient Boost (XGB) machine learning model in Python
How to optimize random forest; hyperparameters tuning
How to optimize XGB; hyperparameters tuning
How to create a confusion matrix in Python
How to deploy a machine learning model in python

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Random Forest Python Example from Scratch

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