Data Mining 資料探勘

長庚大學資料探勘課程的作業與期末專案紀錄，主要參考教科書《Learning Data Mining with Python》。

目錄結構

Data-mining-/
├── HW1/                # 關聯規則探勘
├── HW2/                # k-近鄰演算法
├── HW3/                # 決策樹與隨機森林
├── HW4/                # 文字分群
├── Final project/      # 期末專案：交通事故風險預測
└── README.md

作業內容

作業	主題	資料集	使用技術
HW1	關聯規則探勘（Apriori）	MovieLens 100K	Pandas、SciPy、Lift、Chi²
HW2	k-NN 分類與樣本濃縮	Ionosphere Dataset	Scikit-learn、MinMaxScaler、Pipeline、CNN 演算法
HW3	NBA 比賽結果預測	NBA 2013–2014	決策樹、隨機森林、GridSearchCV
HW4	新聞標題文字分群	UCI 新聞聚合資料集	TF-IDF、KMeans、EAC、Silhouette Score

期末專案

交通事故風險預測（Kaggle Playground Series S5E10）

• 目標：根據道路與環境特徵預測交通事故風險程度
• 資料量：訓練集 517,754 筆、測試集 172,585 筆
• 特徵：道路類型、車道數、速度限制、天氣、照明、時段、假日等
• 工具：Pandas、Matplotlib

環境需求

pandas
numpy
scikit-learn
matplotlib
scipy
jupyter

參考教材

• Learning Data Mining with Python — Robert Layton

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Data Mining

Course assignments and final project from the Data Mining class at Chang Gung University. Main reference: Learning Data Mining with Python by Robert Layton.

Repository Structure

Data-mining-/
├── HW1/                # Association Rule Mining
├── HW2/                # k-Nearest Neighbors
├── HW3/                # Decision Tree & Random Forest
├── HW4/                # Text Clustering
├── Final project/      # Road Accident Risk Prediction
└── README.md

Assignments

Assignment	Topic	Dataset	Technologies
HW1	Association Rule Mining (Apriori)	MovieLens 100K	Pandas、SciPy、Lift、Chi²
HW2	k-NN Classification & Sample Condensing	Ionosphere Dataset	Scikit-learn、MinMaxScaler、Pipeline、CNN
Algorithm
HW3	NBA Game Result Prediction	NBA 2013–2014	Decision Tree、Random Forest、GridSearchCV
HW4	News Headline Text Clustering	UCI News Aggregator	TF-IDF、KMeans、EAC、Silhouette Score

Final Project

Predicting Road Accident Risk (Kaggle Playground Series S5E10)

• Goal: Predict traffic accident risk levels based on road and environmental features
• Data: 517,754 training samples / 172,585 test samples
• Features: Road type, lane count, speed limit, weather, lighting, time of day, holidays, etc.
• Tools: Pandas、Matplotlib

Requirements

pandas
numpy
scikit-learn
matplotlib
scipy
jupyter

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