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Getting Better Everyday!
🎯
Getting Better Everyday!
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shweta-yadav15/README.md

👋  Hey there! I'm Shweta

👨🏻‍💻  About Me

👩🏻‍💻  I have been working on some exciting Machine Learning, NLP and most recently Gen AI projects.
🎓  I graduated with Masters in Computer Science from University of Colorado, Denver in May 2020.
🌱  I am currently learning more about prompting, best practices for LLMs and Climate Tech.
☕︎  In my free time, I read books, hike, rope climb and go for long walks.
💬  Feel free to reach out to me if you want to work together, volunteering, or just for some interesting discussion.
✉️  You can shoot me an email at datascientist.shweta@gmail.com! I'll try to respond as soon as I can.
📄  Please have a look at my Résumé for more details about me.

⚙️  GitHub Analytics

🤝🏻  Connect with Me

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  1. Ecommerce-Data-Analysis Ecommerce-Data-Analysis Public

    Analysis, Predictions, and Visualizations

    Jupyter Notebook 3 1

  2. Recommendations-with-IBM Recommendations-with-IBM Public

    Making recommendations for articles in the IBM data science community.

    HTML

  3. Disaster-Response-Pipeline Disaster-Response-Pipeline Public

    Machine Learning Pipeline to categorize emergency messages based on the needs communicated by the sender.

    Jupyter Notebook 2

  4. Mental-Health-in-Tech-Industry-Analysis Mental-Health-in-Tech-Industry-Analysis Public

    Analysis of data from the year 2014

    Jupyter Notebook 1 1

  5. Suicides-and-Happiness-data-analysis Suicides-and-Happiness-data-analysis Public

    Using seaborn, matplotlib and plotly libraries for detailed data visualization.

    Jupyter Notebook

  6. Audio-Classification Audio-Classification Public

    Classifying sounds from real-world environments into their respective categories. Using Convolutional Neural Networks and Transfer Learning.

    Jupyter Notebook 1