Exploring and analyzing data to comprehend its underlying characteristics and patterns becomes increasingly vital as vaster amounts are collected. This is key in formulating the most suitable problems, the solving of which helps achieve real-world business goals. Use this course to get your head around the programming fundamentals for machine learning in AWS, which form the basis for most data exploratory steps on the AWS platform. Explore various Python packages used in machine learning and data analysis and become familiar with Jupyter Notebook's fundamental concepts. Then, work with Python and Jupyter Notebook to create a machine learning model. When you're done, you'll be able to use Jupyter Notebook and various Python packages in machine learning and data analysis. You'll be one step closer to being prepared for the AWS Certified Machine Learning - Specialty certification exam.

Discover how to work with Pyboard and explore the security concerns and approaches for implementing security in IoT devices. During this course, you will learn how to examine Pyboard components and set up network connectivity. Next, study how to program with MicroPython and identify critical MicroPython libraries, such as Array, Ucollection, uhashlib, and more. You will then explore IoT security challenges, security architecture, and the framework for authentication, authorization, and accounting (AAA). From there, other topics include how to assess IoT cloud security concerns, such as data compromises, unsecure application programming interfaces (APIs), and denial of service attacks. Then finally, as a review exercise, you will work with several MicroPython libraries.

Explore advanced concepts used to implement IOT devices and how they are applied. During this course, you will learn how to use MicroPython to program the MicroPython board. See how to package the Python module through setup tools, run Python Debugger, and operate the Read, Evaluate, Print, and Loop (REPL) console that lets Python interact with circuit boards. Examine key MicroPython, Pymate, and Pycom circuit board features. Study how to set up a MicroPython board. Watch how to install the Arduino Integrated Development Environment (IDE). Compare populare MicroPython-compatible circuit boards. Then, as a review exercise, you will set up and connect a Pyboard via Putty and turn the Pyboard on and off to test it.

MongoDB can be queried, manipulated, and managed with Python. Discover how to install the Python driver for MongoDB - PyMongo, use GridFS with Python, and use a Python REST interface.

What is the Internet of Things (IoT), and how do we program devices to support it? This course introduces you to the IoT ecosystem, its architecture, and the essential characteristics of IoT: intelligence, connectivity, sensor capability, action automation, energy, data flow, and smart analytics. See how IoT appliances impact industries, such as information technology, healthcare, energy management, home security, and highway administration. Examine IoT cloud applications and data analytics. Explore how Python programming can support IoT implementation. Study the online Python simulator and MicroPython programming for IoT microcontroller chips.

This is a recorded Replay of the Sentiment Analysis and Recommender Systems with Python Live session that ran on April 26th at11 AM ET.

This is a recorded Replay of the Sentiment Analysis and Recommender Systems with Python Live session that ran on April 26th at 11 AM ET.

This is a recorded Replay of the Sentiment Analysis and Recommender Systems with Python Live session that ran on April 29th at 11 AM ET. In this session, Dr. Veronica Red discussed the basics of building recommender systems.

This is a recorded Replay of the Sentiment Analysis and Recommender Systems with Python Live session that ran on April 29th at 11 AM ET.

One of the benefits of Cassandra is the ability to develop using a number of different languages. Explore Cassandra support for JSON, user-defined functions, and Cassandra drivers for various development platforms.