diff --git a/Energy Efficiency/README.md b/Energy Efficiency/README.md
index 1ba19a8..65feb0b 100644
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@@ -4,25 +4,31 @@ Copyright (c) 2016 - 2019
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 **Level** Intermediate <br/>
-**Recommended Use:** Regression Models<br/>
-**Domain:** Automobiles<br/> 
+**Recommended Use:** Regression/Classification Models<br/>
+**Domain:** Energy<br/> 
 
-## 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 
 
 
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-![](tim-mossholder-680992-unsplash.jpg)
+![](OFASNQ0.jpg)
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-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:
 
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 ### 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).