Code for programming assignment and case study for team project

• Input data

<https://drive.google.com/uc?export=download&id=1YPnojmYq_2B_lrAa78r_lRy-dX_ijpCM', sep='\t'>

The given dataset aims to predict Mean_temperature using several explanatory variables.

[INPUT]

Max_temperature

Min_temperature

Dewpoint

Precipitation

Sea_level_pressure

Standard_pressure

Visibility

Wind_speed

Max_wind_speed

[OUTPUT] Mean_temperature

• Description

Analyze multiple linear regression using scatter plot, correlation matrix, VIF, T-test, R^2, F-test, JB-test and LM-text

• Code

writed on python3

• Input data

<https://drive.google.com/uc?export=download&id=1AoCh22pmLHhdQtYdYUAJJqOCwF9obgVO', sep='\t'>

The given dataset is MAGIC Gamma Telescope data set.

[Input]

1. fLength: continuous # major axis of ellipse [mm]
2. fWidth: continuous # minor axis of ellipse [mm]
3. fSize: continuous # 10-log of sum of content of all pixels [in #phot]
4. fConc: continuous # ratio of sum of two highest pixels over fSize [ratio]
5. fConc1: continuous # ratio of highest pixel over fSize [ratio]
6. fAsym: continuous # distance from highest pixel to center, projected onto major axis [mm]
7. fM3Long: continuous # 3rd root of third moment along major axis [mm]
8. fM3Trans: continuous # 3rd root of third moment along minor axis [mm]
9. fAlpha: continuous # angle of major axis with vector to origin [deg]
10. fDist: continuous # distance from origin to center of ellipse [mm]

[Target]

11. class: g(gamma; signal), h(hadron; background)

• Description

Analyze Logistic regression regression using plot, Bernoulli naive Bayes, K-NN, Weighted K-NN, K-means by Euclidean and Manhattan measurement, homogeneity and completeness.

• Code

writed on python3

this project is case study about practice of data mining technology

Superpixel algorithm utilization

• The purpose of data analysis
  • What is the problem?
• Method
  • How did they solve the problem using data mining?
  • What kinds of data are used?
• Result
  • What kinds of implication could be derived from the results of data analysis?
  • How much benefit is obtained from the analysis?
• Reference