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Welcome to my Data Portfolio, an organized summary of diverse data projects created using different analytical tools. To explore a specific project, simply click on the project link.
Data Preparation, Data Cleaning, EDA, Machine Learning, Front-end Programming
June 2024
Developed a skin cancer detection model in Python using TensorFlow and Scikit-Learn, powered by ResNet50, capable of identifying cancerous skin lesions and the specific type of cancer (detects 6 types).
Data Preprocessing, Data Transformation, EDA, Machine Learning
June 2024
Designed a Python-based machine learning project to predict loan approval using Matplotlib and Seaborn for EDA and Scikit-Learn for models including Logistic Regression, KNN, and Gradient Boosting.
Performed EDA to study the changing play styles of NBA Championship teams and explore how home-court advantage affects team performances.
About
Welcome to my Data Portfolio, an organized summary of diverse data projects created using different analytical tools. To explore a specific project, simply click on the project link.