06. Random Forest Practical - Part 4 | Machine Learning Algorithms
#machinelearningtutorialforbeginners #machinelearning #datascience #randomforest #codersarts
In this video, you will learn the fundamentals of Random Forest and explore its implementation using default parameters as well as custom parameters. Gain insights into the feature importance analysis and how it can enhance your understanding of model performance. Understand the concept of the confusion matrix and how it aids in evaluating the predictive accuracy of your Random Forest model.
Time stamps :
00:00 Intro
00:40 Random Forest with Default params
02:21 RF with Custom params
03:09 Feature Importance
06:48 Confusion matrix
10:17 Conclusion
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