Machine Learning using weather data
Budget: $30 – $250 AUD
I have a dataset which has over 3 years data on a location .
Task 1:
For this location weather data needs to be fetched :
'DryBulbCelsius','WetBulbFarenheit',
'WetBulbCelsius','DewPointFarenheit','DewPointCelsius',
'RelativeHumidity','WindSpeed','WindDirection,
This data needs to be fetched from Azure Maps.
Location details : lat and log (- 34.8781774,138.6191261)
Task 2:
Once weather data for this location is known , machine learning needs to predict column I (SO).
Accuracy of model needs be over 75%.
Want you to Use Python for this , complete project code along with ML model which has been used to get GT 75 accuracy needs to be provided.
Please understand the requirements first and then BID. You need to prove by sending the snippet of at least weather collection using above location to be selected for this.
Task 1:
For this location weather data needs to be fetched :
'DryBulbCelsius','WetBulbFarenheit',
'WetBulbCelsius','DewPointFarenheit','DewPointCelsius',
'RelativeHumidity','WindSpeed','WindDirection,
This data needs to be fetched from Azure Maps.
Location details : lat and log (- 34.8781774,138.6191261)
Task 2:
Once weather data for this location is known , machine learning needs to predict column I (SO).
Accuracy of model needs be over 75%.
Want you to Use Python for this , complete project code along with ML model which has been used to get GT 75 accuracy needs to be provided.
Please understand the requirements first and then BID. You need to prove by sending the snippet of at least weather collection using above location to be selected for this.