https://github.com/arunesh-tiwari/bank_customer_segmentation
https://github.com/arunesh-tiwari/bank_customer_segmentation
Last synced: 2 months ago
JSON representation
- Host: GitHub
- URL: https://github.com/arunesh-tiwari/bank_customer_segmentation
- Owner: Arunesh-Tiwari
- License: mit
- Created: 2022-02-05T11:50:57.000Z (over 3 years ago)
- Default Branch: main
- Last Pushed: 2022-02-05T12:00:04.000Z (over 3 years ago)
- Last Synced: 2024-12-22T10:14:18.465Z (6 months ago)
- Language: Jupyter Notebook
- Size: 1.11 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# Bank_Customer_Segmentation
1. Leverage the power of machine learning to transform marketing departments and perform customer segmentation
2. Applied Python libraries to import and visualize dataset images.
3. Ttheory and intuition behind k-means clustering machine learning algorithm.
4. Obtained the optimal number of clusters using the elbow method.
5. Applied Scikit-Learn library to find the optimal number of clusters using elbow method.
6. Applied k-means in Scikit-Learn to perform customer segmentation.
7. Theory and intuition behind Principal Component Analysis (PCA) algorithm.
8. Applied Principal Component Analysis (PCA) technique to perform dimensionality reduction and data visualization.
9. Compiled unsupervised machine learning models such as PCA and K-Means to training data.