https://github.com/shreyaschimote/proj_customer_churn
https://github.com/shreyaschimote/proj_customer_churn
customer-churn customer-churn-analysis customer-churn-prediction machine-learning numpy pandas python sklearn streamlit
Last synced: 3 months ago
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- Host: GitHub
- URL: https://github.com/shreyaschimote/proj_customer_churn
- Owner: shreyaschimote
- Created: 2025-01-01T18:12:46.000Z (10 months ago)
- Default Branch: main
- Last Pushed: 2025-01-01T19:01:56.000Z (10 months ago)
- Last Synced: 2025-02-23T14:42:43.055Z (8 months ago)
- Topics: customer-churn, customer-churn-analysis, customer-churn-prediction, machine-learning, numpy, pandas, python, sklearn, streamlit
- Homepage:
- Size: 136 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
#
Customer Churn Prediction
## What is Customer Churn?
## Objectives:
## Dataset:
[Customer Churn Prediction](https://www.kaggle.com/datasets/abdullah0a/telecom-customer-churn-insights-for-analysis)
### The data set includes information about:
## Implementation:
**Libraries:**
## Few glimpses of EDA:
### 1. :
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### 2. :
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## Machine Learning Model Evaluations and Predictions:
#### Results:
#### Final Model:
* We have selected Gradient boosting, Logistic Regression, and Adaboost for our Voting Classifier.
```
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* Final confusion matrix:
## Optimizations
### Feedback
If you have any feedback, please reach out at shreyaschimote@gmail.com
### 🚀 About Me
#### Hi, I'm Shreyas! 👋
I am an AI Enthusiast and Data science & ML practitioner