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  • University of San Francisco
  • San Francisco, CA
  • LinkedIn in/yuhsin-wang
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wangyuhsin/README.md

Hi 👋, I'm Yu Hsin

✨ A passionate Data Scientist

🎓 Data Science Graduate @ University of San Francisco

💼 Currently working as a Data Science intern @ Salk Institute

🤖 Machine Learning: Deep Learning, Regression, Decision Tree, Clustering, Gradient Boosting, XGBoost, Random Forest

⚒ MLOps: MLflow, Weights & Biases, DVC, Great Expectations, Metaflow, Airflow, Evidently, Streamlit

📫 How to reach me: You can message me on LinkedIn or by Email

Languages and Tools

Python Google Cloud Apache Airflow MongoDB MySQL Postgres NumPy Pandas Plotly PyTorch scikit-learn SciPy Docker

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  1. log_analytics log_analytics Public

    This repository contains two Python scripts for log analytics: kafka_producer.py and spark_stream.py. These scripts are designed to work together to process log data using Apache Kafka and Apache S…

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  2. random-forest random-forest Public

    This repository contains a Python implementation of the Random Forest Regressor and Classifier. Random Forest is an ensemble learning method that combines multiple decision trees to make prediction…

    Python

  3. search-application search-application Public

    This repository contains a search application implemented in Python that allows you to search for specific terms within a collection of text files. The search application offers three different sea…

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  4. alumni-profile-matching alumni-profile-matching Public

    Alumni Profile Matching is a project aimed at facilitating networking between graduate students and alumni with similar backgrounds and career goals. By leveraging machine learning techniques and d…

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  5. adaboost-and-gradient-boosting adaboost-and-gradient-boosting Public

    This repository contains two Python files that implement the Adaboost and Gradient Boosting algorithms. These algorithms are popular ensemble methods used in machine learning for both classificatio…

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  6. kmeans-algorithm kmeans-algorithm Public

    This repository contains a Python implementation of the K-Means algorithm. The K-Means algorithm is an unsupervised machine learning algorithm used for clustering data points into groups or cluster…

    Python