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Scikit learn sklearn 0.18 official document Chinese version
2022-04-23 17:58:00 【Feng Ye 520】
ApacheCN（Apache Chinese net ）- About us : http://cwiki.apachecn.org/pages/viewpage.action?pageId=10813869
ApacheCN cwiki The address is scikit-learn 0.18 Chinese document : http://cwiki.apachecn.org/pages/viewpage.action?pageId=10030181
sklearn : be based on Python Linguistic , Simple and efficient data mining and data analysis tools , Based on the NumPy,SciPy and matplotlib On .
Besides ,Apache Spark 2.2.0 Official document in Chinese , Start using github Update by iterative maintenance , Welcome to iterative maintenance , The address is https://github.com/apachecn/spark-doc-zh.
Here are sklearn Official document in Chinese , If you're interested in , Welcome to maintenance iteration .
scikit-learn 0.18 Chinese document
- Quick start
- User guide
- Supervised learning
- Generalized Linear Models ( Generalized linear model )
- Linear and Quadratic Discriminant Analysis ( Linear and quadratic discriminant analysis )
- Kernel ridge regression ( Kernel ridge return )
- Support Vector Machines（ Support vector machine , SVM）
- Stochastic Gradient Descent ( Stochastic gradient descent )
- Nearest Neighbors ( Nearest neighbor )
- Gaussian Processes（ Gauss process ）
- Cross decomposition（ Cross decomposition ）
- Naive Bayes ( Naive Bayes )
- Decision Trees（ Decision tree ）
- Ensemble methods（ Integration method ）
- Multi class and multi label algorithms
- Functional selection
- Semi supervision
- Equation regression
- Probability calibration
- Neural network model （ supervise ）
- Unsupervised learning
- Model selection and evaluation
- Dataset conversion
- Dataset loading utility
- Computing strategy ： Bigger data
- Computing performance
- Supervised learning
- course
- API file
- Development of guidelines
- flow chart
- Related packages
- Always ask questions
- Other resources
- Other versions
Learning route : Fundamentals of machine learning –> sklearn –> tensorflow（ Before learning this , We have to finish the foundation of big data first , The learning activity will be organized later , expect ing...）
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