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  1. Bike-Sharing-Demand-Prediction Bike-Sharing-Demand-Prediction Public

    Built a regression model to predict bike demand on data from Seoul, South Korea. and employed one hot encoding to create dummy variables Benchmarked Cat Boost against Linear regression, Lasso and R…

    Jupyter Notebook

  2. EDA---Capstone-Project EDA---Capstone-Project Public

    Analyzed Hotel Booking data to get the useful insights which will help the industry to come up with the strategies to increase and retain future customers

    Jupyter Notebook

  3. cardiovascular-risk-prediction cardiovascular-risk-prediction Public

    Built hyper-parameter tuned RF to classify patients on the basis of Coronary heart risk .Applied One Hot Encoding to label categorical features. Benchmarked Random Forest against KNN , SVM , Decisi…

    Jupyter Notebook 1

  4. Retail-Customer-Segmentation Retail-Customer-Segmentation Public

    Implemented K - means and Hierarchical clustering to cluster the retail customers into different segments, based on their spending habits. Employed RFM metrics and assigned labels to each customer …

    Jupyter Notebook

  5. Cifar10-neural-network Cifar10-neural-network Public

    Built a simple neural network with the help of ANN and CNN to classify images into their respective classes. used Matplotlib to plot images.

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  6. EDA-on-Uber-Data EDA-on-Uber-Data Public

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