Skill set: Python, Google Colab, Dialogflow, Jupyter Notebook, AWS S3, Personalize, Pandas, Scikiet-Learn, Numpy
Trained recommendation system models with 62k+ users’ info to predict new users’ possible destination.
Applied multiple models (KNN, Naive Bayes, Random Forest, XGBoost) and various hyperparameter combinations for Cross-validation.
Final model got 0.70 NDCG and 65% accuracy, ranked top 15% among the Kaggle competition participants.
Use Convolutional Neural Network to classify scanned 2,620 film mammography images.