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  1. sat-act-analysis sat-act-analysis Public

    The project explores what affects SAT participation rates and recommends changes to drive higher participation rates.

    Jupyter Notebook

  2. credit-card-fraud credit-card-fraud Public

    Binary classification problem to detect fraudulent transactions. Challenges include dealing with imbalanced classes and selecting an appropriate evaluation metric.

    Jupyter Notebook

  3. pricing-products pricing-products Public

    2-step project where I first cluster (using KMeans, DBSCAN, Aggolmerative Clustering) retail transactions data. Following that, apply regression models (Lasso, ElasticNet, Ridge) to each cluster fo…

    HTML

  4. solar-power solar-power Public

    Applied clustering algorithm on 29 countries to narrow scope of analysis. Time series forecasting of solar energy potential of a country using fbprophet and neural networks.

    Jupyter Notebook 1

  5. web-api-and-classification web-api-and-classification Public

    The project addresses a binary classification problem (between r/Conservative and r/democrats) based on data scraped off the respective subreddits, using reddit API.

    HTML

  6. life-insurance-assessment life-insurance-assessment Public

    Multi-classification problem where the goal of the project is to determine risk level of a particular applicant based on his/her background (Eg. medical history etc.)

    Jupyter Notebook