[implemented by Scikit-learn]

Summary
Predicted daily temperature using multiple Linear Regression models & MLP with Scikit-learn, score = 0.85
Goal:
Using local weather station data of Bhubaneswar from SMHI Open Data to predict temperature for the next 24 hours by using
different Machine Learning Algo

Raw Data:
SMHI Open Data of Bhubaneswar, Odisha, India weather station (2007.01.01 - 2020.12.13)

ML Algorithms (Scikit-learn):
linear_model.LinearRegression
linear_model.Lasso
linear_model.Ridge
neural_network.MLPRegressor

Plotting:
matplotlib

Envs:
Anaconda and Python 2.7

Packages:
conda create -n weather_prediction_py27 python=2.7
conda install numpy pandas matplotlib scikit-learn
conda install spyder

Run Steps:
% git clone https://github.com/Swastik2000/DSCWOW_KNOX
% python weather_prediction.py
or using spyder to run weather_prediction.py (Recommended)

Sample Outputs:

• Command Line Outputs:

• Plotting Outputs:
  
  
  

• Sourav Bera
• Swastik Mishra
• Ayush Agrawal