From d18d82c7ddaee40a7b167e14354f6ebc5cfe9d58 Mon Sep 17 00:00:00 2001 From: Tarun Shrivas Date: Fri, 11 Jan 2019 15:09:00 +0000 Subject: [PATCH] Update README.md --- Auto MPG Data Set/README.md | 41 +++++++++++++++++++++++++++++++++++++++++ Auto MPG/README.md | 41 ----------------------------------------- 2 files changed, 41 insertions(+), 41 deletions(-) create mode 100644 Auto MPG Data Set/README.md delete mode 100644 Auto MPG/README.md diff --git a/Auto MPG Data Set/README.md b/Auto MPG Data Set/README.md new file mode 100644 index 0000000..2c34f1c --- /dev/null +++ b/Auto MPG Data Set/README.md @@ -0,0 +1,41 @@ +Data Science Dojo
+Copyright (c) 2016 - 2019 + +--- + +**Level** Intermediate
+**Recommended Use:** Regression Models
+**Domain:** Automobiles
+ +## Auto MPG Data Set + +### Can you predict the fuel-efficieny of a car? + + +--- +![](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: + +--- + +### Data Dictionary + + **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% | +| #3 | displacement | engine displacement (in cubic inches) | 68.0, 112.0, 455.0 | quantitative | 0% | +| #4 | horsepower | engine horsepower | 46.0, 70.0, 230.0 | quantitative | 2% | +| #5 | weight | vehicle weight (in pounds) | 1613, 3615, 5140 | quantitative | 0% | +| #6 | acceleration | time to accelerate from O to 60 mph (in seconds) | 8.00, 15.50, 24.80 | quantitative | 0% | +| #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% | +--- + +### 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. \ No newline at end of file diff --git a/Auto MPG/README.md b/Auto MPG/README.md deleted file mode 100644 index 2c34f1c..0000000 --- a/Auto MPG/README.md +++ /dev/null @@ -1,41 +0,0 @@ -Data Science Dojo
-Copyright (c) 2016 - 2019 - ---- - -**Level** Intermediate
-**Recommended Use:** Regression Models
-**Domain:** Automobiles
- -## Auto MPG Data Set - -### Can you predict the fuel-efficieny of a car? - - ---- -![](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: - ---- - -### Data Dictionary - - **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% | -| #3 | displacement | engine displacement (in cubic inches) | 68.0, 112.0, 455.0 | quantitative | 0% | -| #4 | horsepower | engine horsepower | 46.0, 70.0, 230.0 | quantitative | 2% | -| #5 | weight | vehicle weight (in pounds) | 1613, 3615, 5140 | quantitative | 0% | -| #6 | acceleration | time to accelerate from O to 60 mph (in seconds) | 8.00, 15.50, 24.80 | quantitative | 0% | -| #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% | ---- - -### 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. \ No newline at end of file -- libgit2 0.26.0