Vegatable-Price-Forecasting:

Vegatable price forecasting is ML based project which aims to predict the price of vegatables. This model is used to predict the next day price of vegetable using the previous price of time series data. We tested liner regression algorithm and random forest forset algorithm on the data set and for random forest we got accuracy of 87 %.

Deployment:

  Streamlit run FinalApp.py

Requirements:

You will require python and jupyter installed to work with. You will also need to install following libraries:

• Pandas.
• Seaborn.
• Matplotlib.
• Klib.
• Sklearn.
• Pickle.

Output:

Authors:

• @SagarNilgar
• @HeenaKauser20
• @Sagarshedge20
• @Aslamali20