Predict “mode of transport” using GPS coordinates and machine learning
Budget: $30 – $250 CAD
I am looking for a machine learning expert to help me predict the mode of transportation based on GPS coordinates. The transportation modes include car, bus, train, walk, and subway. The project needs to be completed in less than a week, you can find the dataset online, you can use Microsoft geolife dataset, only thing to take care of is I’m gonna get GPS coordinates every 10 minutes for my school project so keep in mind that we might have to find a dataset which has 10 minutes of interval on gps logs so that would be useful to create ml model!
Ideal Skills and Experience:
- Strong background in machine learning and data analysis
- Familiarity with GPS coordinates and transportation data
- Experience with finding and cleaning datasets
- Proficiency in programming languages such as Python or R
- Ability to develop and train machine learning models
- Strong problem-solving skills and attention to detail.
Ideal Skills and Experience:
- Strong background in machine learning and data analysis
- Familiarity with GPS coordinates and transportation data
- Experience with finding and cleaning datasets
- Proficiency in programming languages such as Python or R
- Ability to develop and train machine learning models
- Strong problem-solving skills and attention to detail.