GitHub - jfemon8/Thesis: Aim of this research is to identify code smells in the Python dataset by combining sophisticated data resampling techniques with ensemble learning approaches. We looked into the most effective ensemble learning techniques for identifying smells in the Python code. Next, we enhance the performance of conventional machine learning models.

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Aim of this research is to identify code smells in the Python dataset by combining sophisticated data resampling techniques with ensemble learning approaches. We looked into the most effective ensemble learning techniques for identifying smells in the Python code. Next, we enhance the performance of conventional machine learning models.

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Name		Name	Last commit message	Last commit date
Latest commit History 4 Commits
Dataset		Dataset
DatasetNormalization.ipynb		DatasetNormalization.ipynb
FeatureSelectionAndNormalization.ipynb		FeatureSelectionAndNormalization.ipynb
Thesis_PCSD_main.ipynb		Thesis_PCSD_main.ipynb