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1. Acute-Lymphoblastic-Leukemia-cell-classification-using-Bayesian-Convolutional-Neural-Networks Acute-Lymphoblastic-Leukemia-cell-classification-using-Bayesian-Convolutional-Neural-Networks Public

   In this project, we deploy the Bayesian Convolution Neural Networks (BCNN), proposed by Gal and Ghahramani [2015] to classify microscopic images of blood samples (lymphocyte cells). The data contai…

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2. Spark_Machine_Learning Spark_Machine_Learning Public

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3. Bayesian-Machine-Learning-in-Breast-Cancer-Diagnosis Bayesian-Machine-Learning-in-Breast-Cancer-Diagnosis Public

   The aim of this project is to apply Bayesian Machine Learning Algorithm to predict the diagnosis condition of the patients.

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4. Synthetic-Minority-Over-Sampling-Technique-SMOTE- Synthetic-Minority-Over-Sampling-Technique-SMOTE- Public

   For a classification problem, when classes in the dependent variable are severely imbalanced (e.g. 90 yes, 10% no), training an efficient machine learning model becomes very difficult. However with…

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5. Variable-Selection-By-Least-Absolute-Shrinkage-and-Selection-Operator-LASSO- Variable-Selection-By-Least-Absolute-Shrinkage-and-Selection-Operator-LASSO- Public

   All independent variables do not have the similar impact on dependent variable. Here we will try to find the independent varibles that have most significant impact on dependent variable to make the…

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6. Telco-Customer-Churn-Modeling Telco-Customer-Churn-Modeling Public

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