In this AWS Machine Learning Specialty Course, You will gain first-hand experience on how to train, optimize, deploy, and integrate ML in AWS cloud. Learn how to use AWS Built-in SageMaker algorithms and AI, How to Bring Your Own Algorithm, Zero Downtime Model Deployment Options, How to Integrate and Invoke ML from your Application, Automated Hyperparameter Tuning
Hi,
I am having data from 1st feb 2019 to 10th sep 2019. Want to predict after 10th sep 2019 for univariate. I am not using any dynamic features . I have splited the data for train from 1st feb to 31st aug 2019 and for test from 1st sep to 10th sep. If it's correct, what i have to give it in max predict date, start date and end date?? what are the hyperparameters i have to set ?? where i have to make changes in the code to get the prediction??
In order to try out your newest additions to the xgboost material,
I made a git stash, and then a git pull command in the AmazonSageMakerCourse directory.
However, now, every time I try do download a file, I get the error
Awesome course on Udemy! I went through the fm notebooks (slightly different from the udemy course). Works well, except the endpoint name changes from fm-movie-v4 (fm_cloud_training_template) to fm-movie-v2 (fm_cloud_prediction_template). Just a small typo?
Best,
A