Apply modeling knowledge of Python to analyze the dataset camera_dataset.csv. Compare the performance of Random Forest, Bagging, and AdaBoost models on this dataset regarding the accuracy of predicting the brand of a camera based on other camera features.
Link to my Medium post: https://johnnygeng.medium.com/data-analysis-and-predictive-models-of-1000-cameras-dataset-3414a409cf02
Apply modeling knowledge of Python to analyze the dataset camera_dataset.csv. Compare the performance of Random Forest, Bagging, and AdaBoost models on this dataset regarding the accuracy of predicting the brand of a camera based on other camera features.
Johnny-Geng/Comprehensive-Machine-Learning
This commit does not belong to any branch on this repository, and may belong to a fork outside of the repository.
Folders and files
Name | Name | Last commit message | Last commit date | |
---|---|---|---|---|
Repository files navigation
About
Apply modeling knowledge of Python to analyze the dataset camera_dataset.csv. Compare the performance of Random Forest, Bagging, and AdaBoost models on this dataset regarding the accuracy of predicting the brand of a camera based on other camera features.
Resources
Stars
Watchers
Forks
Releases
No releases published
Packages 0
No packages published