Advancing Weather Prediction with Machine Learning and Python

This Omdena Local Chapter Challenge runs for 5 weeks and is a unique experience to try and grow your skills in a collaborative and safe environment with a diverse mix of people from all over the world. 

You will work on solving a local problem, initiated by Karachi, Pakistan.

The problem

Problem: Weather forecasts in Pakistan are often inaccurate, which can lead to problems for businesses, government agencies, and individuals.

Impact: A more accurate weather forecasting model would have a significant impact on the people of Pakistan, helping businesses make informed decisions, government agencies plan for natural disasters, and individuals protect themselves from extreme weather.

How the challenge will help: The challenge will help solve this problem by allowing participants to develop a more accurate weather forecasting model.

The goals

The goal of this project is to develop a machine learning model that can improve the accuracy of weather forecasts for Pakistan. The model will be trained on a dataset of historical weather data, and it will be able to predict future weather conditions with greater accuracy than current models.

Why join? The uniqueness of Omdena Local Chapter Challenges

Omdena Local Chapter Challenges are not a competition or hackathon but a real-world project that will grow your experience to a new level.

A unique learning experience with the potential to make an impact through the outcome of the project. You will go through an entire data science project lifecycle. This covers problem scoping, data collection, and preparation, as well as modeling for deployment.

And the best part is that you will join the global and collaborative community of Omdena with tons of benefits to accelerate your career.

Read more on how Omdena´s Local Chapters work