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1. Digit_Classification_Softmax Digit_Classification_Softmax Public

   The MNIST dataset was used to train a neural network having a single linear layer with SoftMax employed in the criterion function (Cross Entropy Loss) to classify handwritten digits in classes 0 to…

   Jupyter Notebook

2. Fraudulent_Credit_Card_Transaction_SnapML Fraudulent_Credit_Card_Transaction_SnapML Public

   SnapML library's Decision Tree classifier and SVM was used to train a model on a real dataset to identify fraudulent credit card transactions. The Decision Tree model resulted in ROC-AUC score = 0.…

   Jupyter Notebook 1

3. Movie-Recommender-System Movie-Recommender-System Public

   A content-based system recommends movies to an input user based on the weighted genre score of a movie and a collaborative filtering system recommends movies liked by other users having a similar t…

   Jupyter Notebook

4. Customer-Churn-Prediction Customer-Churn-Prediction Public

   A logistic regression model was used from the sk-learn library to predict customer churn on a telecomms dataset. The final model yielded the following indices: Best hyperparameter 'solver' = 'libli…

   Jupyter Notebook 2