Solving JetRail Challenge With ARIMA
The objective of JetRail Prediction hackathon is to predict passenger traffic. Using SARIMA forecasting method, we forecast passenger traffic. A typical use case of time series is predicting seasonal data. Time series is a relatively new field in data science. Popular time series libraries are Prophet from Facebook and Orbit from Uber.
Hands-on Project With Sagemaker Autopilot
Amazon Sagemaker Autopilot is used to build, train and deploy machine learning models. Sagemaker is useful for creating machine learning models without an in-depth knowledge of machine learning. It automatically evaluates the data, creates features and...
Understanding Bias and Behavior of AI Models With Sagemaker Clarify
Sagemaker Clarify is a popular tool for analyzing the intrinsic behavior of AI models. Typically it is used to explain model predictions. It is especially useful to understand the behavior of black box models and ensemble models. It is available on the AWS cloud, and integrates with other Sagemaker tools on the fly. We can invoke Sagemaker Clarify from Sagemaker notebooks.
