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Classification on Unbalanced Datasets using Boost Techniques (AdaBoost M2, SMOTE Boost, RusBoost,..)
A collection of my practices using the following algorithms: DBSCAN, KNN, Decision Tree Classifier, K-means, Apriori, SMOTE, SVM
Supervised Machine Learning and Credit Risk
Data analysis, visualization and prediction to predict whether a patient has benign or malignant breast cancer based on properties of the cancer
Supervised Machine Learning and Credit Risk
Predicting toxicity of molecules. Project on course "Data Mining 2"