Udemy – Decision Trees, Random Forests, AdaBoost & XGBoost in Python 2019-2 – Downloadly
Description
“Decision Trees, Random Forests, AdaBoost & XGBoost in Python” is a training course on Udemy to learn decision trees using the Python language. After completing the course, you will have business problems related to the use of Decision Trees/Random Forest/XGBoost in machine learning set and develop a proper understanding of Decision Trees such as Random Forest, Bagging, AdaBoost and XGBoost in advanced mind. Also, you want to create a model decision tree in Python, analyze it and finally with this course you will be able to understand the concepts of machine learning, practice them and also talk about the concepts discussed. .
Course content: Decision trees, random forests, AdaBoost and XGBoost in Python:
- Proper understanding of decision trees
- Understanding the business scenario in which decision trees are applicable.
- Adjust the hyperparameters of a machine learning model and increase its performance
- Use Pandas DataFrames to manipulate data and perform statistical calculations
- The use of decision trees to make predictions
- Learn about the benefits and problems of the different algorithms
Profile courses:
Publisher: Udemy
Teacher: Start Tech Academy
Language: English
Training level: beginner to advanced
Number of courses: 61
Duration: 7 hours and 8 minutes
Course content as of 11-2020:
Required courses:
Students need to install Python and Anaconda software but we have a separate lecture to help you install the same.
Pictures
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installation Guide
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Subtitles: English
Quality: 720
Download link
Password file(s): free software
File size
1.9GB