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Achievement: StarstruckAchievement: Arctic Code Vault Contributor
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dinbav/README.md

Knowladge

💫 About Me:

🔭 NLP enthusiast and researcher with a focus on applying machine learning to real-world problems. Currently working on "Predicting Stock Prices Using Tweets," an ongoing research project at the University of Haifa.

🤝 I am currently mentoring Y-DATA students for the Intuit Counterfactuals project, the AI21 Labs Q&A project, and mentoring Baot's English and Hebrew Punctuation Model Project.

💬 I'm always eager to discuss NLP, machine learning, and data science topics. Ask me anything about my research and data science projects, or check out my repositories for more details.

🌱 In my free time, I enjoy experimenting with new technologies and sharing my knowledge with others through writing for publications such as Towards Data Science and lecturing

🌐 Socials:

LinkedIn Medium Twitter

💻 Tech Stack:

Python AWS Keras NumPy scikit-learn SciPy Pandas Plotly PyTorch

📊 GitHub Stats:



✍️ Random Dev Quote

Pinned

  1. LeXmo LeXmo Public

    A python package for classifying emotion

    Python 19 8

  2. Predictive-Modeling-TA--Fraud-case-study Predictive-Modeling-TA--Fraud-case-study Public

    Full implementation of data science pipeline on unbalanced data.

    Jupyter Notebook 3

  3. Machine-Learning-Tutorials Machine-Learning-Tutorials Public

    Tutorials I assembled as a Machine Learning teaching assistant for master students

    Jupyter Notebook 2

  4. SpreadingKnowledge SpreadingKnowledge Public

    Datasets, notebooks and slides for workshops, tutorials and public speaking.

    Jupyter Notebook 2 2