Skip to content

Latest commit

 

History

History
executable file
·
54 lines (33 loc) · 1.36 KB

README.md

File metadata and controls

executable file
·
54 lines (33 loc) · 1.36 KB
Raw

Weather Prediction iOS Application

Train a weather prediction model and create a Flask API

Prediting the daily max temperature for my Hometown Casablanca, Morocco.

Final Results

Train the model

MacOS, Linux & Windows:

python train.py

Usage example

Download a large dataset of temperatures (Max, min, average it is your call) from your hometown for example. (In this repo I used data for Casablanca, Morocco).

Clean up the data and add it to the API folder, make sure to use the column names that I have in my own csv file or you can change the script to fit your csv file in train.py.

Then you can call use the train.py to train the model and save it to the current directory.

Finally, you can predict the weather by running the Flask API or you can call the prediction function in predict.py file.

Run the API

MacOS, Linux & Windows:

python app.py

My Deployed API

Hosted on Heroku

http://weather-prediction-api.herokuapp.com/{day}{month}{year}

API call example

August 24, 2019

http://weather-prediction-api.herokuapp.com/24082019

About me

Omar MHAIMDAT – Linkedin – [email protected]

Distributed under the MIT license. See LICENSE for more information.

Look at the rest of my repos