Build a serverless, pay-as-you-go, self-service appointment scheduling solution with Amazon Lex and Amazon Connect.

AWS Services: Amazon Lex, Amazon Connect, Amazon Pinpoint
Libraries: Boto3

RL is an advanced machine learning (ML) technique learns very complex behaviors without requiring any labeled training data, and can make short term decisions while optimizing for a longer term goal.

AWS Services: Amazon DeepRacer

TensorFlow 2 to build and train a model to classify images, and specifically take advantage of the Keras API provided with TensorFlow to make that process really easy.

Libraries: Tensorflow, Keras

Apache MXNet to build and train a model to classify images, and specifically take advantage of the Gluon API provided with MXNet to make that process really easy.

Libraries: MXNet, Gluon

The scikit-learn contains various classification, regression, and clustering algorithms, including __random forests__ which we use in this project.

Libraries: scikit-learn, seaborn

Amazon Deeplens and Amazon Rekognition service to detect emotions on a person's face. We can track them overtime to analyze the overall user emotion while watching a movie or during a conversation.

AWS Services: Amazon Deeplens and Amazon Rekognition
Libraries: greengrasssdk, awscam, cv2, numpy, boto3

Bot is built for those employees (say warehouse field workers) who does not have internet access and line up to a paper based register, to log basic daily tasks. With this bot they can do it using SMS, Call, Ask Alexa as regular dialog conversation like you are asking your assistant or friend to do the task for you.

Energy generation forecasting is critical for power system reliability and balancing supply and demand.

Services: Azure ML Studio, Azure resource Manager

AWS Machine Learning Concepts with Python notebooks for hands-on for AWS ML Cert 2022 MLS-C01

I have curated these notes from all popular learning sites in one place.