Contents

1
2 襭 讌螻 譴觜(Data Collection & Preparation)
3 蠍一糾(Descriptive Statistics)
4 一危 覿(Exploratory Data Analysis)
5 豢(Estimation)
6 螳 蟆(Hypothesis Testing)
7 蠏(Regression)
8 覿襯(Classification)
9 蟲一(Clustering)
10
11
12 谿瑚襭


煙...
Python朱 企慨り 螻 .. 讌蟾讌 R ク.. .. 蠍 ..


れ 蠏碁殊 螳旧 一危 覿 襴 覲伎譴. 糾 襾語 蟆所螳 覈誤螻 覿覈 蟲讌[1] 讌襷,
螻 螳 覿襯覃 譟郁 ク 蟆 螳.
data_analysis.png


import pandas as pd
import numpy as np

1 #

2 襭 讌螻 譴觜(Data Collection & Preparation) #

一危 所鍵[2]
一危 譴觜[3]

3 蠍一糾(Descriptive Statistics) #

.. python朱 伎 ? SQL螻 Excel ク 襷伎..


  • 一危一 危企ゼ 螳螻
  • 一危一 轟 覦 覿

一危 危エ覲願鍵

4 一危 覿(Exploratory Data Analysis) #


5 豢(Estimation) #


6 螳 蟆(Hypothesis Testing) #

7 蠏(Regression) #

8 覿襯(Classification) #

覿襯蠍
焔ロ螳

9 蟲一(Clustering) #

10 #

11 #

12 谿瑚襭 #

  • [http]Novelty and Outlier Detection(http://scikit-learn.org/stable/modules/outlier_detection.html)
  • [https]=求メ Numpy メп釈≡ 求≡=(https://www.slideshare.net/dahlmoon/numpy-20160519)
  • [http]JDBC (http://bongury.tistory.com/entry/Python-jdbc%EB%A1%9C-DatabaseOracle-%EC%A0%91%EA%B7%BC%ED%95%98%EA%B8%B0)
  • [http]SciPy Cookbook(http://scipy-cookbook.readthedocs.io/index.html)
  • 伎 殊企襴襯 襾語/ 覡 , 碁 螳企 讌/觜覩碁/9788968483394(8968483396)
  • 伎 殊企襴襯 一危 覿/ 貂る 讌/觜覩碁/9788968480478(8968480478)
  • Think Stats/ B. れ磯 讌/觜覩碁/9788968486340
  • 蠏語語 蠍壱 蟆..
  • 蠍郁糾襦 ([http]豢豌(http://game.dongguk.ac.kr/class/2006-1/ai/chap9_ai.ppt))

CategoryMachineLearning