vbhargav875/AirQo_Zindi_Competition

My solution to a ML Hackathon organized by Zindi Africa **AirQo Ugandan Air Quality Forecast Challenge** **Objective** : The objective of this challenge is to predict the air quality level at exactly 24 hours after a 5-day series of hourly weather data readings which include temperature, rainfall, wind, and humidity. **Data** : The weather indicators available in the train and test are: temp: mean temperature recorded at the site over the hour (degrees Celsius)* precip: total rainfall in mm recorded at the site over the hour (mm)* wind_dir: mean direction of the wind over the hour (degrees)* wind_spd: mean wind speed at the site over the hour (metres per second)* atmos_press: mean atmospheric pressure(atm)* **Link to data** : AirQo Ugandan Air Quality F… **Note** : The data used in the AirQoCode.ipynb is obtained after performing minimal data cleaning and formatting of the given data. **Private leaderboard Rank** : 50/318 **Link to leaderboard** : zindi.africa