Hi guys. I will love to receive feedback from this project, any type of feedback are welcome
This is the GitHub repository
I did a prediction model using XGBoost to predict if the BTC price will hit a target of that day, the prediction was made as a classification problem. The model was basic as I only use 5 features as predictors.
The most interesting part of the project was the deployment. I was able to upload the model to AWS and generate a prediction service to run the model on daily basis and have the prediction at 9am EST time.
- Use the stock price prediction webinar to improve the accuracy of the model
- Use the Azure course to deploy the model using Azure instead of AWS