Training a machine learning model
We have now used Data Wrangler to do data analysis and processing, which involved several steps, such as data cleaning, preprocessing, feature engineering, and exploratory data analysis. These steps are crucial before doing machine learning, as they ensure that data is in the correct format, we selected the relevant features, and we dealt with outliers and missing values using data transformation. Data Wrangler provides a unified experience, enabling you to prepare data and seamlessly train a machine learning model, all from within the tool.
SageMaker Autopilot is a tool that automates the key tasks of an automatic machine learning (AutoML) process. This includes exploring your data, selecting algorithms relevant to your problem type, and preparing the data to facilitate model training and tuning. With just a few clicks, you can automatically build, train, and tune ML models using Autopilot, XGBoost, or your own algorithm, directly from the Data...
