项目作者: mickuz

项目描述 :
Laboratory of Statistical Learning course assignments
高级语言: Jupyter Notebook
项目地址: git://github.com/mickuz/lsed.git
创建时间: 2020-03-03T15:23:25Z
项目社区:https://github.com/mickuz/lsed

开源协议:MIT License

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Laboratory of Statistical Learning

Exercise 0 – Fisher Discriminant Analysis

Investigate if it’s possible to separate the data points projected onto the optimal direction when dataset meets the following requirements:

  • there are three classes
  • there are 30 points from normal distribution for each class with covariance matrix:

  • the means for each class are as follows:

Make an appropriate picture.

Solution

Exercise 1 – Naive Bayes classifier

Solution

Exercise 2 – Model evaluation

Solution

Exercise 3 – K-nearest neighboors classifier

Solution

Exercise 4 – Decision Trees

Solution

Exercise 5 – Bagging

Solution

Exercise 6 – Support Vector Machines

Solution

Exercise 7 – Clustering algorithms

Solution

Exercise 8 – Principal Component Analysis

Solution