https://github.com/niklas-joh/machine-learning-project-supervised-learning
Identify the most efficient machine learning model to identify potential donors. Project covers Linear Regression, Perceptron Algorithm, Decision Trees, Naive Bayes, Support Vector Machines and Ensemble Methods.
https://github.com/niklas-joh/machine-learning-project-supervised-learning
ai artificial-intelligence boosting decision-trees ensemble grid-search-cv gridsearchcv machine-learning ml random-forest support-vector-machines svm
Last synced: 2 months ago
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Identify the most efficient machine learning model to identify potential donors. Project covers Linear Regression, Perceptron Algorithm, Decision Trees, Naive Bayes, Support Vector Machines and Ensemble Methods.
- Host: GitHub
- URL: https://github.com/niklas-joh/machine-learning-project-supervised-learning
- Owner: niklas-joh
- Created: 2021-02-12T14:49:24.000Z (over 5 years ago)
- Default Branch: master
- Last Pushed: 2021-03-18T09:08:21.000Z (over 5 years ago)
- Last Synced: 2024-01-28T22:37:48.828Z (over 2 years ago)
- Topics: ai, artificial-intelligence, boosting, decision-trees, ensemble, grid-search-cv, gridsearchcv, machine-learning, ml, random-forest, support-vector-machines, svm
- Language: HTML
- Homepage:
- Size: 1.16 MB
- Stars: 0
- Watchers: 2
- Forks: 0
- Open Issues: 0