Web server APIs:
1. Trigger training
- Fetch data from the third party resource
- Prepare the dataset
- Split the data set in training and testing sets 80/20
- Test 3-5 different ML algorithms for % of accuracy
- Select the highest accuracy algorithm.
- Store the model.
2. Get predictions
- If the model is less than 1 month old, use the existing ML model to predict the today's price on the given parameters
- If the model is more than 1 month old, train the model and respond to API call with a false (model is not ready).
3. Get the latest % accuracy on the prediction
4. Get status if the model is ready
19 freelancers are bidding on average $1039 for this job
Hello there I am a suitable candidate for this project because I have experience in developing ML models; I also understand the metrics to choose the appropriate model.
Hi, I'm interested in the project. I have all of the skill requirements you mentioned above and knowledge about some powerful Machine Learning algorithms. I have already done some same projects before.