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1. credit-card-fraud-detection credit-card-fraud-detection Public

   Implemented Decision Tree, Random Forest and Deep Neural Network (5 layers) on a real anonymized dataset. Used undersampling and oversampling (SMOTE) with Deep Neural Network to balance the highly …

   Python 2

2. minimizing-churn-rate minimizing-churn-rate Public

   Applied Logistic Regression to a dataset of customers’ financial habits artificially created from real life case studies. Achieved test accuracy of 62.9%. Used Undersampling to balance the dataset,…

   Python 1

3. loan-likelihood-prediction loan-likelihood-prediction Public

   Implemented following algorithms to solve the problem- Logistic Regression (with Lasso penalty), SVM (with linear and RBF kernels) and Random Forest (with 100 decision trees and Entropy & Gini impu…

   Python

4. customer-subscription-direction customer-subscription-direction Public

   Used Logistic Regression Classifier to decide whether a customer should be directed to subscription by analyzing his app behavior. Also implemented k-fold Cross Validation to prevent overfitting.

   Python

5. mnist-digits-classification mnist-digits-classification Public

   Built a linear neural network from scratch to classify handwritten digits (0-9) taken from MNIST datasubset in json format. Implemented Mini Batch Gradient Descent, ReLU activation function, softma…

   Python

6. home-security-system home-security-system Public

   Built system to recognize faces and give access to home, based on access profile (family, friend, intruder) in database. Possesses multi-level security. (PIR motion sensor inside for motion detecti…

   Python