Update README.md

Author: ajaymache

README.md

@@ -3,7 +3,7 @@
   + The dataset is taken from **kaggle** and contains details of the **used cars in germany** which are on sale on **ebay**.
   + The dataset is not clean and hence a lot of data cleaning is carried out. For e.g. prices where too high which are      replaced by the median and outliers are removed accordingly. 
   + Also vehicles whose registration year was **_greater than 2016_ and _less than 1890_** were removed from the dataset as this data is inconsistense and would yield incorrect results.
-  + The dataset is cleaned and stored in a **CleanData** folder which contains the entire cleaned dataset named as **[cleaned_autos.csv](https://github.com/ajaymache/DataAnalysisUsingPython/tree/master/DAUP-Project/CleanData/CleanedDataSet)** and another folder named **[DataForAnalysis](https://github.com/ajaymache/DataAnalysisUsingPython/tree/master/DAUP-Project/CleanData/DataForAnalysis)** containing files structures containing subsets of the cleaned dataset based on brand of the vehicles and vehicle types.  
+  + The dataset is cleaned and stored in a **CleanData** folder which contains the entire cleaned dataset named as **[cleaned_autos.csv](CleanData/CleanedDataSet)** and another folder named **[DataForAnalysis](https://github.com/ajaymache/DataAnalysisUsingPython/tree/master/DAUP-Project/CleanData/DataForAnalysis)** containing files structures containing subsets of the cleaned dataset based on brand of the vehicles and vehicle types.  
 
 ### Sample Dataset
 dateCrawled | name | seller | offerType | price | abtest | vehicleType | yearOfRegistration | gearbox | powerPS | model | kilometer | monthOfRegistration | fuelType | brand | notRepairedDamage | dateCreated | nrOfPictures | postalCode | lastSeen