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1. Fake-News-Detection-Text-Preprocessing-and-Classification Fake-News-Detection-Text-Preprocessing-and-Classification Public

   Fake new detection using text classification as real or fake news segments. Required installations - Python 3.8, NLTK, Scikit-Learn, Jupyter. Text cleaning, tokenization, vectorization, classificat…

   Jupyter Notebook 2

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 15 8

3. Insurance-Forecast-A-Regression-Problem Insurance-Forecast-A-Regression-Problem Public

   Application of Linear, AdaBoost, RandomForest Regressors and Ordinary Least Square method for projecting customer insurance charges.

   Jupyter Notebook 1

4. Exploratory-Data-Analysis-Customer-Churn-Prediction Exploratory-Data-Analysis-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 13 5

5. Laplace-and-Exponential-mechanisms-for-privacy Laplace-and-Exponential-mechanisms-for-privacy Public archive

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

   Python 28 15

6. Expert-system-for-cancer-patient-survival-prediction Expert-system-for-cancer-patient-survival-prediction 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