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  1. Churn-prediction-of_bank_customers-by-selecting-from-11-tuned-models Churn-prediction-of_bank_customers-by-selecting-from-11-tuned-models Public

    Predicts the exiting probabability of the bank customers by selecting from 11 tuned ML models

    Jupyter Notebook 3 1

  2. Home-credit-default-risk-production-level Home-credit-default-risk-production-level Public

    Predicts the default risk of the Home credit's customers using LGBM model

    Jupyter Notebook 1

  3. Reuters-news-classification-by-Keras Reuters-news-classification-by-Keras Public

    As a result of IBM's Applied AI with DeepLearning course assignment, news classification is done using Keras.

    Jupyter Notebook 2

  4. Heroku-Churn-Ensembled-Model Heroku-Churn-Ensembled-Model Public

    Online deployment of Churn-prediction-of_bank_customers-by-selecting-from-11-tuned-models project

    HTML 2

  5. IEE-CIS-Fraud-Detection-using-3-models IEE-CIS-Fraud-Detection-using-3-models Public

    We predicted fraud using XGBoost, LGBM and Catboot in IEE-CIS data set.

    Jupyter Notebook 1