:zap:机器学习实战(Python3):kNN、决策树、贝叶斯、逻辑回归、SVM、线性回归、树回归
Machine-Learning
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Chapt. 2: K-Nearest Neighbors Algorithm
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Python3 study notes (I): K-Nearest Neighbors Algorithm (Gorgeous and Splendid Tutorial) |
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Chapt. 3: Decision Tree
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Python3 study notes (II): Decision Tree (Basic Concepts): Let’s Start from Dating |
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Python3 study notes (III): Decision Tree (In Practice): I’m Looking for a Pair of Contact Lenses |
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Chapt. 4: Navie Bayes
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Python3 Python3 study notes (IV): Navie Bayes (Basic Concepts): Comment Filter |
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Python3 Python3 study notes (V): Navie Bayes (In Practice): Catalogues of Sina News |
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Chapt. 5: Logistic Regression
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Python3 study notes (VI): Logistic Regression (Basic Concepts): Gradient Ascent Algorithm |
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Python3 study notes (VII): Logistic Regression (In Practice): Prediction of Horse Mortality |
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Chapt. 6: SVM (Support Vector Machine)
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Chapt. 7: AdaBoost
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Chapt. 8: Linear Regression
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Chapt. 9: Regression Tree
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Python3 study notes (XIII): Regression Tree (Basic Concepts): CART Alogrithm and Pruning |
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