churn-user-prediction
Here are 48 public repositories matching this topic...
Machine-Learning-1
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Sep 25, 2021 - Jupyter Notebook
This repository holding a case study on analysis churn in Telecom and building a machine learning model to classify the customer who is likely to churn, which includes EDA, Prediction Model Building, Presentation PDF.
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Oct 6, 2021 - Jupyter Notebook
Predicting Teleco churn dataset from Kaggle. In this repo, I take 3 solution notebooks and combine the analysis into one with some updates.
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Apr 26, 2021 - Jupyter Notebook
DissertationCA2
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Oct 20, 2018 - Jupyter Notebook
Analyzing factors leading to customers churning; predicting which customers' will churn?
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Jun 16, 2020 - Jupyter Notebook
Datathon with a retargeting ad company. Churn date prediction (Normalized RSME 38), clustering (98% Silhouette), automated identification of the gaps between best and average client within a cluster.
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Jun 23, 2021 - Jupyter Notebook
Telecom-Churn-Case-Study
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Apr 29, 2023 - Jupyter Notebook
Exploring various business cases by using a wide range of statistical methods and machine learning techniques
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Oct 25, 2022 - Jupyter Notebook
사용자 분석을 위한 SQL 및 실제 게임 데이터 분석
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Jan 4, 2020 - Jupyter Notebook
Projeto que engloba soluções de Analitycs para empresas do mercado financeiro. Neste projeto envolvemos problemas de Fraud Detection, Churn Detection e Credit Score.
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Aug 5, 2021 - Jupyter Notebook
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Dec 22, 2017 - Python
NGO Fund Raising Attrition Churn Modelling
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Aug 30, 2019 - Jupyter Notebook
Churn analysis predictor, combining TensorFlow and Supervised Machine Learning
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Jan 28, 2021 - Jupyter Notebook
Tree methods for customer churn prediction. Creating a model to predict whether or not a customer will Churn .
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Mar 15, 2024 - Jupyter Notebook
Building an Artificial Neural Networks (ANN) to access the churn rate of a customer (whether a customer will leave the bank or not)
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Jan 10, 2020 - Jupyter Notebook
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May 31, 2020 - Jupyter Notebook
Build an End-to-End Data Science Project to predict customer churn for the Telecom industry and provide prescriptive countermeasures.
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Dec 10, 2021 - Jupyter Notebook
Predicts weather the customer will stay with the current telecom company or leave
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Jun 22, 2022 - Python
For any company, customer acquisition is important. At the same time, retaining the existing customers is also very important. So for predicting whether the customer will churn or not can be done easily using neural networks.
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Dec 23, 2021 - Jupyter Notebook
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