garimayadav97 / Crop-Price-Prediction

Crops_Price_Prediction

Problem Statement

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.

Technologies:

1. IBM Watson Studio for Jupyter Notebook
2. Flask Framework
3. Scikit Learn and other ML library

Resources

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

https://www.indiawaterportal.org/articles/district-wise-monthly-rainfall-data-list-raingauge-stations-india-meteorological-department

Preprocessing

1. Summary Data type

2. Normalization

3. One Hot Encoding

4. Visualization

The visualization of the various feature using Histogram to see their frequency

More animation way to visualize data in color matrix

Various Scatter Plot between

distribution plot to see how much our trained distribution fit to orginal distribution of data