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Explore a collection of data-driven projects demonstrating my expertise in Python for data analysis, visualization, and machine learning. From interactive data apps built with Streamlit to insightful analyses using pandas, matplotlib, and scikit-learn, each project is crafted to harness the power of data for real-world insights.

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Irene-Busah/data-projects

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Data Projects Folder

Welcome to my data projects repository! This folder contains various projects related to data analysis, visualization, and machine learning. Below is a brief overview of the projects included:

  1. Stocks Analysis App

    • This application provides insights into stock prices, technical indicators, news sentiment, portfolio tracking, and price predictions.
    • Deployed App: Stocks Analysis App
  2. Fitness Trend Data Ingestion

    • Analyze global fitness trends from 2018 to 2023 using comprehensive Google Trends data. Explore the popularity of keywords like 'workout,' 'home workout,' 'gym workout,' and 'home gym' globally and by country over a five-year period.
    • Deployed App: Fitness Trend Data Ingestion

Each project directory includes its own README file with detailed instructions on usage, setup, and deployment. Explore each project to learn more!

Installation and Setup

To run any of these projects locally, follow the instructions in each project's README file. Typically, you will need Python and the necessary libraries installed. Use virtual environments to manage dependencies.

Contact Information

For questions or feedback, feel free to contact me at i.busah123@gmail.com.

About

Explore a collection of data-driven projects demonstrating my expertise in Python for data analysis, visualization, and machine learning. From interactive data apps built with Streamlit to insightful analyses using pandas, matplotlib, and scikit-learn, each project is crafted to harness the power of data for real-world insights.

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