Udemy – Decision Trees, Random Forests, AdaBoost & XGBoost in Python 2019-2

Udemy – Decision Trees, Random Forests, AdaBoost & XGBoost in Python 2019-2 Downloadly IRSpace

Apr 17, 2025 - 06:12 Updated: May 4, 2025 - 14:41

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Udemy – Decision Trees, Random Forests, AdaBoost & XGBoost in Python 2019-2

Decision Trees, Random Forests, AdaBoost & XGBoost in Python, name of a training course on Udemy for learning decision trees using the Python language is. After the end of the course, you’ll have business problems with the use of Decision tree/ Random Forest/ XGBoost in the machine learning set, a proper understanding of the decision trees advanced, like Random Forest, Bagging, AdaBoost, and XGBoost in mind. Also, you want to have a model decision trees in python, made it analysis of the and finally, with this course, you’ll be able to the concepts of machine learning to understand, they will have practiced, and also about the concepts discussed.

Course features Decision Trees, Random Forests, AdaBoost & XGBoost in Python:

The proper understanding of the decision trees
Understanding the scenario of business that decision trees are applicable.
Adjust the hyperparameters of a model, machine learning, and increase its performance
Use Pandas DataFrames to manipulate data and perform statistical calculations
The use of decision trees to perform prediction
Learn the usefulness and problems of the different algorithms

Profile courses :

Publisher: Udemy
Instructor: Start-Tech Academy
Language: English
Training level: beginner to advanced
Number of courses: 61
Duration Time: 7 hours and 8 minutes