model-tuning

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sgirolkar / AIML-Practice

Sameer Girolkar's AIML practice Notebooks

computer-vision eda aiml feature-selection supervised-learning unsupervised-learning neural-network-example model-tuning introduction-to-nlp ensemble-techniques

Updated Mar 29, 2023
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sls-mdr / rdc-model-comparison-donors-for-charity

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I used this notebook to discuss different supervised learning approaches. In the notebook you can find evaluations of a logistic regression, a K-Nearest-Neighboor, a Support Vector Machine, a Decision Tree and the ensemble methods Random Forest, AdaBoost and XGBoost Classifyer.

data-science ml charity preprocessing binary-classification model-comparison model-tuning

Updated Oct 19, 2020
Jupyter Notebook

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