Machine Learning with Python - Intro

• Python libraries for machine learning
• Numpy, Pandas, Scikit-learn
• Scikit-learnd의 기능: preprocessing, model_selection, building classifier, fitting the model, confusion_matrix (결과 출력)
• Supervised vs Unsupervised learning(지도학습 vs 비지도학습)
• Supervised model: how to teach? by labeling the dataset

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• Unsupervised learning techniques: Dimension reduction / Density estimation / market basket analysis / Clustering
• Clustering: example) bank's desire to segment his customers based on certain characteristics / helping an individual to organize in-group his favorite types of music

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• Different between Supervised vs Unsupervised learning

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