In this Problem we have to predict the future prices of the crop using past prices, geographical location and climatic change. In this Problem we use machine learning tools to aid the farmers.
- IBM Watson Studio for Jupyter Notebook
- Flask Framework
- Scikit Learn and other ML library
We have gathered information from the following data set. Link 1- CROP PRICES DATASET
https://data.gov.in/resources/wholesale-price-index-base-year-2004-05-upto-december-2013
Link 2-MONTHLY CLIMATE CHANGE DATASET
-
Summary Data type
-
Normalization
-
One Hot Encoding
-
Visualization
The visualization of the various feature using Histogram to see their frequency
More animation way to visualize data in color matrix
distribution plot to see how much our trained distribution fit to orginal distribution of data