Dự án thực hiện phân tích toàn diện bộ dữ liệu thời tiết (2015–2021) thông qua kỹ thuật phân cụm K-Means và so sánh hiệu suất của hơn 10 mô hình học máy khác nhau.
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Mar 19, 2026 - Jupyter Notebook
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cikit-learn
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implementing and comparing various model fitting and classification techniques. Demonstrates Multivariate Gaussian, Bag-of-Words, Naïve Bayes, LDA, and QDA models. Applied to Iris, SMS Spam Collection, and Phoneme datasets for practical classification tasks. parameter estimation, performance evaluation, feature selection using Mutual Information.
python machine-learning text-classification numpy naive-bayes jupyter-notebook pandas feature-selection classification bag-of-words pattern-recognition lda roc-curve spam-detection mutual-information gaussian-models statistical-modeling qda odel-fitting cikit-learn
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May 2, 2025 - Jupyter Notebook
Backend Flask API integrating a TensorFlow/Keras model for arterial blood pressure estimation.
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Aug 21, 2026 - Python
An end-to-end network traffic analysis and anomaly detection platform built with Python and machine learning, featuring CIC-IDS2017 data analysis, Random Forest classification, Isolation Forest anomaly detection, risk scoring, and an interactive Streamlit security dashboard.
python machine-learning random-forest cybersecurity network-security anomaly-detection streamlit network-traffic-analysis cikit-learn cic-ids2017
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Oct 16, 2026 - Python
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