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3823807f · Tarun Shrivas · 016c13f5 · 3823807f
Commit 3823807f authored Jan 11, 2019 by Tarun Shrivas
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README.md Auto MPG/README.md +12 -13

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--- a/Auto MPG Data Set/README.md
+++ b/Auto MPG Data Set/README.md
@@ -3,27 +3,26 @@ Copyright (c) 2016 - 2019

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-**<span style="color:#E57932">Level:</span>** Intermediate <br/>
-**<span style="color:#E57932">Recommended Use:</span>** Regression Models<br/>
-**<span style="color:#E57932">Domain:</span>** Automobiles<br/> 
+**Level** Intermediate <br/>
+**Recommended Use:** Regression Models<br/>
+**Domain:** Automobiles<br/> 

-## <span style="color:#15A3D8">Auto MPG Data Set</span> 
-### <span style="color:#15A3D8">Can you predict the fuel-efficieny of a car?</span> 
+## Auto MPG Data Set 

---
+### Can you predict the fuel-efficieny of a car? 

-![](tim-mossholder-680992-unsplash.jpg)

 ---
+![](tim-mossholder-680992-unsplash.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 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:

 ---

-### <span style="color:#15A3D8">Data Dictionary</span> 
-
+### Data Dictionary 

-|**Column Position**|**Attribute Name**|**Description**                                             |**Examples**               |**Attribute Type**   |**Nulls Ratio** |
+ **Column Position**|**Attribute Name**|**Description**                                             |**Examples**               |**Attribute Type**   |**Nulls Ratio** 
 |-------------------|------------------|------------------------------------------------------------|---------------------------|---------------------|----------------|
 |     #1            |   mpg            |  fuel efficiency measured in miles per gallon (mpg)        | 9.0, 13.0, 41.5           | quantitative        | 0%             |
 |     #2            |   cylinders      |  number of cylinders in the engine                         | 3, 4, 8                   | qualitative         | 0%             |    
@@ -34,10 +33,9 @@ This $intermediate$ level data set has 398 rows and 9 columns and provides milea
 |     #7            |   model year     |  model year                                                | 73, 79, 82                | qualitative         | 0%             |
 |     #8            |   origin         |  origin of car (1: American, 2: European, 3: Japanese)     | 1, 2, 3                   | qualitative         | 0%             |
 |     #9            |   car name       |  car name                                                  | audi fox, subaru          | qualitative         | 0%             |
-
 ---

-### <span style="color:#15A3D8">Acknowledgement</span>
+### 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.  
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