Skip to content

Data analysis of datasets of the government initiative Kisan Call Center (KCC) using prominent data mining techniques.

Notifications You must be signed in to change notification settings

hritiksk392/Farmer-Query-Data-Analysis

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

4 Commits
 
 
 
 
 
 
 
 
 
 

Repository files navigation

Farmer-Query-Data-Analysis

Data analysis of datasets of the government initiative Kisan Call Center (KCC) using prominent data mining techniques.To resolve Farmer’s query, we are going to analyze the data set and answer some fundamental questions like how should local bodies enact to resolve Farmer’s concern, which crops are not suitable for particular regions and get some insights on the agricultural domain of the country. To analyze the data, we have used Python 3.7, IDE- Jupyter Notebook, Pandas, sklearn and various other Python Libraries.

Datasets

The dataset for analysis has been taken from data.gov.in primarily focusing on states Haryana, Rajasthan, Gujarat, Uttar Pradesh, Jammu & Kashmir and Tamil Nadu for the year 2019. The datasets can be accessed from the 'data' directory also. All the datasets are in '.csv' format.

Team members

About

Data analysis of datasets of the government initiative Kisan Call Center (KCC) using prominent data mining techniques.

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published