DDAM-APPEAL

Working in a distributed environment, we tried to predict the "APPeal" of Android apps from this dataset: https://www.kaggle.com/gauthamp10/google-playstore-apps

Name		Name	Last commit message	Last commit date
Latest commit History 5 Commits
APPeal - Classification - SVM.ipynb		APPeal - Classification - SVM.ipynb
APPeal - Classification-CrossGenre testing.ipynb		APPeal - Classification-CrossGenre testing.ipynb
APPeal - Classification-DecisionTree.ipynb		APPeal - Classification-DecisionTree.ipynb
APPeal - Classification-RandomForest.ipynb		APPeal - Classification-RandomForest.ipynb
APPeal - Clustering-BisectingKMeans.ipynb		APPeal - Clustering-BisectingKMeans.ipynb
APPeal - Clustering-GMM.ipynb		APPeal - Clustering-GMM.ipynb
APPeal - Clustering.ipynb		APPeal - Clustering.ipynb
APPeal - Data-understanding v.1.0.ipynb		APPeal - Data-understanding v.1.0.ipynb
APPeal Data cleaning v.2.0 - 3.01.22.ipynb		APPeal Data cleaning v.2.0 - 3.01.22.ipynb
APPeal-Classification-LogisticRegression.ipynb		APPeal-Classification-LogisticRegression.ipynb
APPeal-Classification-Naive Bayes.ipynb		APPeal-Classification-Naive Bayes.ipynb
DDAM - APPeal.pdf		DDAM - APPeal.pdf
README.md		README.md

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