-**Recommended Use:** Regression Models

-**Domain:** Automobiles

+**Recommended Use:** Regression/Classification Models

+**Domain:** Energy

-## Auto MPG Data Set +## Energy Efficiency Data Set -### Can you predict the fuel-efficieny of a car? +### Assess heating and cooling load requirements of building --- -![](tim-mossholder-680992-unsplash.jpg) +![](OFASNQ0.jpg) --- -This *intermediate* level data set has 398 rows and 9 columns and provides mileage, horsepower, model year, and other technical specifications for cars. This data set is recommended for learning and practicing your skills in **exploratory data analysis**, **data visualization**, and **regression modelling techniques**. Feel free to explore the data set with multiple **supervised** and **unsupervised** learning techniques. The Following data dictionary gives more details on this data set: +This *intermediate* level data set has 768 rows and 10 columns. +This study looked into assessing the heating load and cooling load requirements of buildings (that is, energy efficiency) as a function of building parameters +Energy analysis using 12 different building shapes simulated in Ecotect has been performed. +The buildings differ with respect to the glazing area, the glazing area distribution, and the orientation, amongst other parameters. +It can also be used as a multi-class classification problem if the response is rounded to the nearest integer. +This data set is recommended for learning and practicing your skills in **exploratory data analysis**, **data visualization**, **regression** and **classification modelling techniques**. +Feel free to explore the data set with multiple **supervised** and **unsupervised** learning techniques. +The Following data dictionary gives more details on this data set: --- ### Data Dictionary - | Column Position | Atrribute Name | Definition | Data Type | Example | % Null Ratios | |------------------- |---------------- |------------------------------ |-------------- |------------------------ |--------------- | | 1 | X1 | Relative Compactness | Quantitative | 0.86, 0.71, 0.79 | 0 | @@ -40,4 +46,5 @@ This *intermediate* level data set has 398 rows and 9 columns and provides milea ### Acknowledgement -This data set has been sourced from the Machine Learning Repository of University of California, Irvine [Auto MPG Data Set (UC Irvine)](https://archive.ics.uci.edu/ml/datasets/auto+mpg). The UCI page mentions [StatLib (Carnegie Mellon University)](http://lib.stat.cmu.edu/datasets/) as the original source of the data set. +This data set has been sourced from the Machine Learning Repository of University of California, Irvine [Energy Efficiency Data Set (UC Irvine)](https://archive.ics.uci.edu/ml/datasets/Energy+efficiency). +The UCI page mentions the following publication as the original source of the data set: [A. Tsanas, A. Xifara: 'Accurate quantitative estimation of energy performance of residential buildings using statistical machine learning tools', Energy and Buildings, Vol. 49, pp. 560-567, 2012 (the paper can be accessed from](http://people.maths.ox.ac.uk/tsanas/Preprints/ENB2012.pdf).