Pinned Loading

1. Laplace-and-Exponential-mechanisms-for-privacy Laplace-and-Exponential-mechanisms-for-privacy Public

   Applying Laplace and exponential mechanisms to add random noise to data for differential privacy. Plotting MSE vs. epsilon.

   Python 31 15

2. Text-processing-NLP Text-processing-NLP Public

   This notebook contains entire text preprocessing pipeline for NLP problems. The ready-to-use functions require NLTK and SKlearn package installations. It also contains some prominent text classific…

   Jupyter Notebook 16 8

3. Exploratory-Data-Analysis-Telco-Customer-Churn-Prediction Exploratory-Data-Analysis-Telco-Customer-Churn-Prediction Public

   Application of K-means clustering. Prediction of customer churn using Multi-layer Perceptron ANN, Logistic Regression, SVM-RBF and Random Forest Classifier.

   Jupyter Notebook 15 5

4. Cancer-Patients-Survival-Prediction-ML-And-Rule-based-Expert-System Cancer-Patients-Survival-Prediction-ML-And-Rule-based-Expert-System Public

   Rule-based expert system for prediction of a patient's survival within 5 years of undergoing breast cancer surgery & its comparison with ML classification techniques.

   Python 4