Skip to content
View berkarcan's full-sized avatar
Block or Report

Block or report berkarcan

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Please don't include any personal information such as legal names or email addresses. Maximum 100 characters, markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse

Pinned

  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