Analyzing the rainfall in Bangladesh over the years and predicting the amount of rainfall (in mm) in future. The data-set being used is a time series data-set. A comparison is made between multiple Machine learning algorithm.

Project was created to make comparison (of accuracy) between different types of Machine learning Algorithms. The goal of the project is to tune the algorithms in such a way that the accuracy of prediction is maximized.

Data-set being used in this project can be found on kaggle or you can use this link to go directly to the data-set

Actual data -> Red dot, Green line
Predicted data -> Blue line

• Full year plot
• Month Wise plot Similar Plots available in project for all Four algorithm used in comparison.

• Clone this repo to your local machine using https://github.com/arnavgarg123/Bangladesh-Rainfall.git

• Make surer you have jupyter notebook installed on your system with python 3 kernel.
• Using terminal/cmd navigate to the folder containing the files of this repo and run the command juputer-notebook.
• Now open BangladeshRainfall.ipynb file on jupyter notebook.

• Clone this repo to your local machine using https://github.com/arnavgarg123/Bangladesh-Rainfall.git
  

• HACK AWAY!
  

• Create a new pull request
  

This project is licensed under the MIT License - see the LICENSE.md file for details