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  1. RL-based-assistance-system-for-cab-drivers RL-based-assistance-system-for-cab-drivers Public

    Building Deep reinforcement learning model (DQN) to optimize taxi driving strategies for profit maximization.

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    To identify the driving factors behind the loan default (i.e. the variables which are strong indicators of default) to minimize the financial loss using EDA.

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  5. Regression-with-regularization-for-property-value-prediction Regression-with-regularization-for-property-value-prediction Public

    To build a regression model using regularisation in order to predict the actual value of the properties.

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  6. Telecom-churn-prediction-with-PCA Telecom-churn-prediction-with-PCA Public

    Objective: To build a model in order to predict churn customers for a given telecom company and to get top driving features to derive customer retaintion statergy

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