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ann-model

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Business Case Study to predict customer churn rate based on Artificial Neural Network (ANN), with TensorFlow and Keras in Python. This is a customer churn analysis that contains training, testing, and evaluation of an ANN model. (Includes: Case Study Paper, Code)

  • Updated May 4, 2021
  • Python

Client-Retention-Insight is a churn classification project to predict whether the customer will Exited or not using the ANN implementation by tensorflow. We have also performed regression on the EstimatedSalary feature and done the HyperparameterTunning to find the best possible parameters for the model.

  • Updated Feb 9, 2025
  • Jupyter Notebook

The Cell can certain features than help doctors to make decision whether you can a certain disease or not. ANN model will take long time for image classification and can only work in images concentrated in center. Here is how you do using CNN(Convolutional Neural Network). CNN is the expanded version of ANN.

  • Updated Aug 13, 2020
  • Jupyter Notebook

A machine learning-based crop recommendation system that predicts the most crop to cultivate based on environmental and soil parameters. This project compares multiple classification algorithms, including SVM, Random Forest, Decision Tree, KNN, Naive Bayes, Logistic Regression, and ANN, to determine the optimal model for accurate crop prediction.

  • Updated Oct 27, 2025
  • Jupyter Notebook

Deep Neural Netowrk (TCN + BiLSTM with Attention) model on multivariate time-series classification. Project for the Artificial Neural Networks and Deep Learning course at Politecnico di Milano (PoliMi) (2025/2026).

  • Updated Nov 18, 2025
  • Jupyter Notebook

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