There will be at least two original articles per week. The latest articles will be published on [Official Account] and videos on [Station B]. You can add me [WeChat] to the communication group for technical exchanges or comments. Welcome to Star !
article | personal website | CSDN | Zhihu |
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Python3 "Machine Learning Practical Combat" study notes (1): k-nearest neighbor algorithm (an epic long article) | personal website | CSDN | Zhihu |
1. Simple k-NN
2. Helen Dating
3.Number recognition
article | personal website | CSDN | Zhihu |
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Python3 "Machine Learning in Action" Study Notes (2): Basics of Decision Trees Let's start with blind dates | personal website | CSDN | Zhihu |
Python3 "Machine Learning Practice" study notes (3): Decision tree practice chapter: Get yourself a contact lens | personal website | CSDN | Zhihu |
1. Loan forecast
2.Contact lenses
article | personal website | CSDN | Zhihu |
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Python3 "Machine Learning Practical Combat" study notes (4): Naive Bayes basics speech filter | personal website | CSDN | Zhihu |
Python3 "Machine Learning Practical Combat" Study Notes (5): Naive Bayes Practical Combat Chapter Sina News Classification | personal website | CSDN | Zhihu |
1. Speech filter
2. Spam filter
3. Sina News Classifier
article | personal website | CSDN | Zhihu |
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Python3 "Machine Learning Practical Combat" study notes (6): Gradient Ascent Algorithm in the Basics of Logistic Regression | personal website | CSDN | Zhihu |
Python3 "Machine Learning Practical Combat" study notes (7): Logistic regression practical chapter predicting the mortality rate of sick horses | personal website | CSDN | Zhihu |
1.Logistic basic training
2. Improved stochastic gradient ascent algorithm
3. Prediction of mortality of sick horses
article | personal website | CSDN | Zhihu |
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Python3 "Machine Learning Practical Combat" Study Notes (8): Support Vector Machine Principles: Hand-Teared Linear SVM | personal website | CSDN | Zhihu |
Python3 "Machine Learning Practical Combat" Study Notes (9): Support Vector Machine Practical Chapter - Re-Tear Nonlinear SVM | personal website | CSDN | Zhihu |
1. Simplified version of SMO algorithm
2. Full version of SMO algorithm
3. Nonlinear SVM
4.Sklearn SVC handwritten digit recognition
article | personal website | CSDN | Zhihu |
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Python3 "Machine Learning in Action" Study Notes (10): A powerful tool to improve classifier performance-AdaBoost | personal website | CSDN | Zhihu |
1. AdaBoost training process based on single-layer decision tree
2. Apply AdaBoost on difficult data sets
3.sklearn implements AdaBoost
4.ROC curve drawing
article | personal website | CSDN | Zhihu |
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Python3 "Machine Learning Practical Combat" Study Notes (11): Predicting the Age of Abalone in the Basics of Linear Regression | personal website | CSDN | Zhihu |
Python3 "Machine Learning in Action" Study Notes (12): Linear Regression Improvement Chapter Second-hand Price Prediction of Lego Toy Kits | personal website | no | no |
1. Linear regression (ordinary linear regression + local weighted linear regression)
2. Predict the age of abalone
3. Stepwise linear regression
4. Second-hand price prediction of Lego toys
article | personal website | CSDN | Zhihu |
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Python3 "Machine Learning Practice" study notes (13): CART algorithm and tree pruning in the basics of tree regression | personal website | no | no |
article | personal website | Official account |
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Hey, let’s get together! | personal website | Official account |
More exciting things to come, so stay tuned!