Course hw, records, sample codes for Data science programming 2018 spring.

topic: iRenter 臺北市租金歷史資料與租金預測系統

report slider

shiny app entry

1. Install R, Rstudio.
2. Learn basic R syntax.
3. Do some R example.

• UPDATE:

1. Learn R crawling.

• UPDATE:
  Homework2:
  Crawl the historical data of Bitcoin from https://coinmarketcap.com/. The data include the close, open, high, low prices and the volume from 2017/1 to 2018/4.

  week 2 hw link

1. Data visualization
2. ggplot2

• UPDATE:
  Homework 3:
  Use the data crawled from https://coinmarketcap.com/ to make a line graph showing the Bitcoin price and volume in 2017.

  week 3 hw link

1. Using APIs
2. Data visualization: word cloud

• UPDATE:
  Homework 4:
  Crawl the content of posts from the Facebook page of Trump and Obama through Facebook APIs and make word clouds of these two politicians and make some easy analysis.

  week 4 hw link

1. Text mining
2. TF-IDF
3. Shiny

• UPDATE:
  Project 1:
  1. Make a analysis on the terms used in the English writings in different time period based on TF-IDF.

     Project 1 link

  2. Make a little practice on the interactive features of Shiny.

     Shiny practice link

Titanic EDA (ipynb notbook)

Titanic model analysis (ipynb notebook)

csv link

topic: Exploratory Data Analysis - Instacart，預測消費者下一次購賣

Exploratory Analysis - Instacart

topic: 利用 Apriori 分析關於乳癌患者存活率的分析

notebook :

利用 Apriori 分析關於乳癌患者存活率的分析

topic: CNN神經網路實作數字辨認

notebook :

神經網路實作數字辨認

topic: iRenter 臺北市租金歷史資料與租金預測系統

report slider

shiny app entry