Description
Decision Trees, Random Forests, AdaBoost & XGBoost in Python, name of a training on Udemy for learning decision trees using the Python language. After completing the course, you will have business issues with the use of Decision Tree / Random Forest / XGBoost in the machine learning ensemble, a good understanding of advanced decision trees, like Random Forest, Bagging, AdaBoost and XGBoost in mind. Also, you want to have a decision tree model in python, analyze it and finally, with this course, you will be able to understand the notions of machine learning, which they will have practiced, and also on the concepts discussed.
The course includes decision trees, random forests, AdaBoost and XGBoost in Python:
- Good understanding of decision trees
- Understand the business scenario that the decision trees are applicable to.
- Tune a model’s hyperparameters, machine learning, and increase its performance
- Use Pandas DataFrames to manipulate data and perform statistical calculations
- Using decision trees to make predictions
- Learn the usefulness and problems of different algorithms
Profile course:
Publisher: Udemy
Instructor: Start-Tech Academy
French language
Level of training: beginner to advanced
Number of courses: 61
Duration: 7 hours and 8 minutes
Course content as of 11-2020:
Prerequisites:
Students will need to install Python and Anaconda software, but we have a separate lecture to help you install the same
Pictures
sample movie
Installation guide
After Extract, watch it with the player you like.
Subtitles: English
Quality: 720
Download link
Password file(s): ngaur.com
File size
1.9 GB