项目作者： csc-training

项目描述：
Exercises for Practical Machine Learning course

高级语言： Jupyter Notebook

项目主页：

项目地址: git://github.com/csc-training/intro-to-ml.git

创建时间： 2019-04-11T07:23:09Z
项目社区：https://github.com/csc-training/intro-to-ml
开源协议：MIT License
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intro-to-ml

Exercises for CSC‘s Practical Machine Learning course

See SETUP.md for instructions on how to set up Notebooks.

Exercises

Exercise 01: Introduction to Notebooks, Python, and numpy
Exercise 02: Linear classifiers
Exercise 03: Nearest neighbor classifiers
Exercise 04: Linear and polynomial regression
Exercise 05: Classification with SVMs
Exercise 06: Regression with SVMs
Exercise 07: Classification with decision trees
Exercise 08: Regression with decision trees
Exercise 09: Classification with neural networks
Exercise 10: Regression with neural networks
Exercise 11: Dimensionality reduction
Exercise 12: Data visualization
Exercise 13: Clustering
Exercise 14: Anomaly detection

Extra

Extra 01: Classification with naive Bayes
Extra 02: Parameter grid search for SVM classification
Extra 03: Ensemble of classifiers

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