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python-pandas

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10alytics_air_realtor ,a dynamic repository, hosts an AWS-driven data pipeline. Utilizing Apache Airflow, AWS S3, and EC2, it performs efficient ETL operations, extracting comprehensive real estate data from the Realty Mole Property API via RapidAPI. This tool empowers real estate professionals with timely insights for strategic decision-making.

  • Updated Apr 6, 2024
  • Jupyter Notebook
IntroToDataWrangling

A brief course intended to introduce non-programmers to python and data wrangling. Also, demonstration of network optimization, pdf creation in Python, and a simple Monte Carlo simulation.

  • Updated Apr 6, 2024
  • Jupyter Notebook

This data science project aims to perform exploratory market analysis on the Automotive Market, gleaning insight into consumer preferences and demands, sales trends, and pricing fluctuations and helping automotive dealers and industry professionals better understand consumer preferences and make informed decisions on catering to their needs.

  • Updated Mar 22, 2024
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I'll use various techniques to train and evaluate a model based on loan risk. I will use a dataset of historical lending activity from a peer-to-peer lending services company to build a model that can identify the creditworthiness of borrowers.

  • Updated Feb 8, 2024
  • Jupyter Notebook

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