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GitHub / MYoussef885 / Rock_VS_Mine_Prediction

The "Rock vs. Mine Prediction" project focuses on predicting whether an underwater object is a rock or a mine using machine learning techniques. By leveraging popular Python libraries such as NumPy, Pandas, Scikit-learn (sklearn), and logistic regression, this project provides an end-to-end solution for accurate classification.

JSON API: https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/MYoussef885%2FRock_VS_Mine_Prediction

Stars: 0
Forks: 0
Open Issues: 0

License: None
Language: Jupyter Notebook
Repo Size: 56.6 KB
Dependencies: pending

Created: 9 months ago
Updated: 9 months ago
Last pushed: 9 months ago
Last synced: 9 months ago

Topics: data-science, deep-learning, google-colab-notebook, logistic-regression, machine-learning, numpy-arrays, pandas-dataframe, python, sklearn, sklearn-classifier, sklearn-metrics

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