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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 14 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 12 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 27 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