Introduction to Machine Learning Introduction to Machine LearningOverview of key background around Machine Learning and preparing you to be successful in the rest of this course.Exploratory Data AnalysisUse AWS SageMaker Studio to access S3 datasets and perform data analysis, feature engineering with Data Wrangler and Pandas. And finally label new data using SageMaker Ground Truth.Machine Learning ConceptsIn this lesson you'll learn about ML Lifecycles, how to differentiate between supervised vs. unsupervised ML, regression methods, and classification methods. Model Deployment WorkflowIn this lesson you'll load a dataset, clean/create features, train a regression/classification model with scikit learn, evaluate a model and tune a model's hyperparameter.Algorithms and ToolsIn this lesson you'll train, test, and optimize on liner, tree-based, XGBoost, and AutoGluon Tabular models. And you will also create a model using SageMaker JumpstartPredict Bike Sharing Demand with AutoGluonTrain a model using AutoGluon to predict bike sharing demand, and see how highly you can place in the competition!CompanyAbout Us Why Udacity? Blog In the News Jobs at Udacity Become a Mentor Partner with Udacity ResourcesCatalog Career Outcomes Help and FAQ Scholarships Resource Center Udacity SchoolsSchool of Animation and Game Development School of Artificial Intelligence School of Autonomous Systems School of Business Career Resources School of Cloud Computing School of Cybersecurity School of Data Science School of DevOps School of Executive Leadership School of Product Management School of Programming and Development Featured ProgramsBusiness Analytics SQL AWS Cloud Architect Data Analyst Intro to Programming Digital Marketing Self Driving Car Engineer Only at UdacityArtificial Intelligence Deep Learning Digital Marketing Flying Car and Autonomous Flight Engineer Intro to Self-Driving Cars Machine Learning Engineer Robotics Software Engineer