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  1. Software-Defect-Prediction Software-Defect-Prediction Public

    Application of Deep Learning and Feature Extraction in Software Defect Prediction

    Python 21 8

  2. boston-housing-price-prediction boston-housing-price-prediction Public

    Predicted house prices using multiple linear regression. Used back elimination to further improve the model and select features based on p-value and adjusted R squared value.

    Jupyter Notebook 3 3

  3. Sentiment-Analysis Sentiment-Analysis Public

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  4. HR-Analytics-Employee-Churn-Prediction HR-Analytics-Employee-Churn-Prediction Public

    Explored data using data visualisation and exploratory data analysis. Used Logistic Regression to create a basic prediction model. Improved model using recursive feature elimination.

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  5. sentimental-analysis sentimental-analysis Public

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  6. logictic-regression logictic-regression Public

    Built the logistic regression model from scratch in python

    Jupyter Notebook