#

bank-customer-analysis

Here are 4 public repositories matching this topic...

SKJNR / Deep-Learning-Projects

nlp machine-learning deep-learning sentiment-analysis nltk sentimental-analysis sentiment-classifier sentiment-classification classification-model bank-customer-segment bank-customer-analysis

Updated Dec 12, 2020
Jupyter Notebook

mrezaa / classification-with-random-forest

Bank customer term deposit status is predicted with some other features by random forest classification method.

random-forest classification bank-customer-analysis

Updated Oct 3, 2024
Jupyter Notebook

nakshatrasinghh / Deep-Learning

Neural Networks with TensorFlow 2 and Keras in Python (Jupyter notebooks included)

python deep-learning neural-network tensorflow keras mnist-classification convolutional-neural-networks augmentation prediction-model mnist-handwriting-recognition age-prediction universal-sentence-encoder ktrain juypter-notebook bank-customer-analysis

Updated Nov 11, 2020
Jupyter Notebook

bjam24 / bank_customer_segmentation_methods

The main goal of this project is to use various Clustering Methods for Bank Customer Segmentation.

Updated Nov 11, 2024
Jupyter Notebook

Improve this page

Add a description, image, and links to the bank-customer-analysis topic page so that developers can more easily learn about it.

Curate this topic

Add this topic to your repo

To associate your repository with the bank-customer-analysis topic, visit your repo's landing page and select "manage topics."