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  • Daugherty Business Solutions
  • St. Louis, MO

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  1. dog_app dog_app Public

    Convolutional Neural Networks (CNN) are designed via transfer learning using bottleneck features from VGG-16 and ResNet-50 architectures. An accuracy of around 82% is achieved for the prediction of…

    Jupyter Notebook 1

  2. smartcab smartcab Public

    In this Reinforcement Learning (RL) project, an epsilon-greedy Q-Learning agent is constructed to learn an optimal policy for smartcabs.

    Jupyter Notebook

  3. customer_segments customer_segments Public

    The Principal Component Analysis (PCA) is implemented on a dataset (from 440 clients of a wholesale distributor with variables related to its clients' total spending values on different product cat…

    Jupyter Notebook 1

  4. finding_donors finding_donors Public

    Different classification algorithms are used to predict income levels of potential donors. The hyperparameters of the classifiers are optimized via grid_search and, among others, an ensemble classi…

    HTML 1

  5. boston_housing boston_housing Public

    An exploratory data analysis is performed and a regression model is used to predict house values. The prediction performance is optimized after tuning the model hyper-parameters to minimize bias/va…

    HTML

  6. spam-email spam-email Public

    Features are extracted from text data using the bag of words model and a Naive Bayes classifier is trained and used to predict email spams.

    Jupyter Notebook 1