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mewers2/README.md

  • Hi, I'm @mewers2, a professional helicopter pilot who decided to embark on learning data analytics using Python through various statistical libraries such as SQL, R, MongoDB, JavaScript and more. I have a robust background in addressing complex problems with practical solutions within organizations.

  • I'm currently learning and honing my skillset with Python using machine learning and analytical libraries.

  • I'm interested in continuing to learn and grow in analytics, applying advanced libraries in Python, and new ways to visualize large datasets.

  • How to reach me: michelle.cf.ewers@gmail.com

Pinned

  1. Mapping_Earthquakes Mapping_Earthquakes Public

    Do you like interactive maps? This project displays data from the latest earthquakes occurring anywhere around the world as reported by the U.S. Geological Survey (USGS) on an informative and easy-…

    JavaScript

  2. Movies-ETL Movies-ETL Public

    The purpose of this project is to create an Extract, Transform, Load data pipeline for the multiple large movie-related datasets. First, the data is scraped from the web, then the data is cleaned, …

    Jupyter Notebook 1

  3. Neural_Network_Charity_Analysis Neural_Network_Charity_Analysis Public

    Can you predict the future? A neural network machine learning model used to create a binary classifier is capable of predicting whether funding applicants from the AlphabetSoup non-profit will be s…

    Jupyter Notebook

  4. Cryptocurrencies Cryptocurrencies Public

    This project conducts an analysis of cryptocurrency data for a client who is interested in investing in the cryptocurrency market using unsupervised machine learning. The analysis identifies patter…

    Jupyter Notebook

  5. kickstarter-analysis kickstarter-analysis Public

    Performing high level analysis using Microsoft Excel on kickstarter campaign data.

  6. stock-analysis stock-analysis Public

    Refactoring an existing stock analysis macro script created in VBA and develop a better script that can handle a larger dataset in less time and more efficiently.