Introduction to Data Mining and Analytics
Chapter 01
- Titanic.csv data set
- Insurance.csv data set
- TitanicFields.csv data set
- Census.csv data set
- Ecommerce.csv data set
- Seattle.csv data set
- Iris.data.csv data set
- DiapersAndBeer.csv data set
Chapter 02
- Breast.data.csv data set
- DowJones.csv data set
- Adult.csv data set (Census data set)
- Spam.csv data set
- Classification tutorial
- Colab Tutorial
Chapter 04
Chapter 05
- Auto-MGP.csv data set
- SalesData.csv spreadsheet
- GoalSeeking.csv spreadsheet
- Forecast.csv spreadsheet
- PivotDemo.csv spreadsheet
- Questions.xlsx spreadsheet
Chapter 06
- Employees.csv
- Quality.csv
- Chapter 06 Companion Database Note: You will need to unzip this file after downloading it.
Chapter 07
- Chapter 07 Companion Database Note: You will need to unzip this file after downloading it.
- Atlas.txt
Chapter 08
Chapter 09
- Chapter 09 Companion Database Note: You will need to unzip this file after downloading it.
- NeedsWrangling.csv
- Messy.xls
Chapter 10
Chapter 11
Chapter 12
- Auto-MPG.csv data set
- Apyori.py Note: You will need to unzip this file after downloading it.
- Groceries.csv data set
- FPGrowthGroceries.csv data set
Chapter 14
- Images.zip Note: You will need to unzip this file after downloading it.
- Haarcascade_frontalface_default.xml Note: You will need to unzip this file after downloading it.
Chapter 15
- Stocks.csv
- Stocks.json Note: You will need to unzip this file after downloading it.