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Navneet2409/README.md
  • 👋 Hi, I’m @Navneet_Keshri
  • 🏢 Working as an Assistant Professor for Data Science at Sunstone
  • 🌱 I'm interested in AI/ML technologies
  • 🙌 I’m looking to collaborate on any Data related projects.
  • 💞️ I’m looking for a better opportunities in Data Science or related field
  • 📫 Reach me at LinkedIn
  • ⚡ Fun fact: I would love to work with same minded people like me as a team.

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  1. Flower-Classification Flower-Classification Public

    The aim of this project is to solve a Supervised Image Classification problem of classifying the flower types - rose, daisy, dandelion, sunflower, & tulip which can predict the class of the flower …

    Jupyter Notebook

  2. cardiovascular-risk-prediction cardiovascular-risk-prediction Public

    The project aims to predict the 10-year risk of future coronary heart disease (CHD) for patients in Framingham, Massachusetts. A dataset (3390,16) containing demographic, behavioral, and medical ri…

    Jupyter Notebook 2

  3. Airbnb-Booking-Analysis Airbnb-Booking-Analysis Public

    This project aims to do exploratory data analysis of the listings on Airbnb NYC 2019 Dataset (48895, 16). Airbnb has a global reach, and data analysis plays a crucial role in its operations.

    Jupyter Notebook

  4. bike-sharing-demand-prediction bike-sharing-demand-prediction Public

    The goal of this project is to predict the demand for Seoul's Bike Sharing Program. A dataset (8760,14) containing historical usage patterns, such as temperature, time, and other relevant data is u…

    Jupyter Notebook

  5. credit-card-default-prediction credit-card-default-prediction Public

    This project is aimed at predicting the case of customer's default payments. This dataset (30000,25) contains information on default payments, demographic factors, credit data, history of payment, …

    Jupyter Notebook

  6. netflix-movies-and-tv-shows-clustering netflix-movies-and-tv-shows-clustering Public

    The goal of this project is to use Netflix data (7787,12) to classify and group movies and shows into specific clusters. We will utilize techniques such as K-means clustering, Agglomerative cluster…

    Jupyter Notebook