Prediction of forest cover type in Python.
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Updated
Mar 27, 2022 - Python
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cover-type
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This project predicts land cover types using machine learning models like Random Forest, KNN, Decision Tree, Logistic Regression, and Naive Bayes on the Roosevelt National Forest dataset. The goal is to build an accurate classification model through data preprocessing, model training, and evaluation
data-science machine-learning random-forest naive-bayes supervised-learning logistic-regression decision-trees kkn cover-type
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Updated
May 15, 2025 - Jupyter Notebook
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