Predict the Churn rate of a bank.
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Jun 22, 2022 - Jupyter Notebook
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bank-customer-churn
Here are 13 public repositories matching this topic...
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Jun 16, 2023 - Python
Projects for Neural Networks course, Shahid Beheshti University, Fall 2020
deep-learning keras cnn python3 neural-networks traffic-sign-classification keras-tensorflow fraud-detection bank-customer-churn
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Jul 2, 2024 - Jupyter Notebook
Detailed solution to the Ban_customer_churn_dataset from kaggle with data visualization by using Random Forest Algorithm.
kaggle feature-engineering scikitlearn-machine-learning random-forest-classifier bank-customer-churn-analytics bank-customer-churn
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Nov 12, 2020 - Jupyter Notebook
This repo contains deep learning projects for beginners.
nlp tensorflow keras neural-networks mnist-dataset seq2seq deeplearning neural-machine-translation transfer-learning cifar10 keras-tensorflow kaggle-dataset handwritten-digit-classification resnet18 bank-customer-churn potato-disease-classification tf-data-pipeline
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Aug 1, 2023 - Jupyter Notebook
our goal for this project is to predict the churn probability of a customer using machine learning classification techniques.
exploratory-data-analysis data-transformation outlier-detection gradient-boosting-classifier churn-prediction classification-algorithm voting-classifier feature-importance adaboost-algorithm rocauc bank-customer-churn
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Dec 30, 2021 - Jupyter Notebook
From a dataset provided by a leading commercial bank in Vietnam, profile customers of the bank and predict who are likely to churn.
python jupyter-notebook eda banking classification churn-prediction classification-algorithm model-deployment model-tuning bank-customer-churn
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Nov 25, 2022 - Jupyter Notebook
Predictive Analysis of Customer Churn in Banking Industry Using Python
python machine-learning exploratory-data-analysis data-visualization classification data-analysis logistic-regression predictive-analysis decision-tree churn-prediction k-nearest-neighbours bank-customer-churn
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Oct 16, 2023
This project involves the development of a machine learning model to predict customer churn for a banking institution. By utilizing historical customer data, the model aims to identify at-risk customers, enabling the bank to take proactive measures to retain them and improve customer loyalty.
python machine-learning eda data-analytics data-analysis-python customer-churn-prediction bank-churning-model bank-customer-churn
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Nov 29, 2024 - Jupyter Notebook
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Oct 30, 2024 - Jupyter Notebook
Bank Customer Chun Rate
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Sep 19, 2023 - Jupyter Notebook
Predicting Bank Credit Card Customer Churn using the Credit Card Customers dataset.
machine-learning random-forest numpy scikit-learn credit-card pandas xgboost logistic-regression matplotlib support-vector-machines imbalanced-data catboost sgd-classifier customer-churn-prediction imbalanced-dataset ridge-classifier bank-customer-churn
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Jul 4, 2025 - Jupyter Notebook
In this project, I aim to predict customer churn for Deutsche Bank using supervised machine learning. It involves data exploration, feature engineering, and building Naive Bayes, Decision Tree, Random Forest, and XGBoost models. Models are tuned, evaluated, and compared to identify the best approach for churn prediction.
machine-learning random-forest eda data-visualization data-analytics supervised-learning xgboost data-analysis decision-tree churn-prediction gaussian-naive-bayes churn-analysis bank-customer-churn customer-churn-analytics
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May 13, 2025 - Jupyter Notebook
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