Jetting machine operator education requirements

1. Machine Learning with PySpark: Customer Churn Analysis

This 90-minute guided-project, "Pyspark for Data Science: Customer Churn Prediction," is a comprehensive guided-project that teaches you how to use PySpark to build a machine learning model for predicting customer churn in a Telecommunications company. This guided-project covers a range of essential tasks, including data loading, exploratory data analysis, data preprocessing, feature preparation, model training, evaluation, and deployment, all using Pyspark. We are going to use our machine...

2. Launch an auto-scaling AWS EC2 virtual machine

In this 1-hour long project-based course, you will learn how to Launch an autoscaling AWS EC2 virtual machine using the AWS console. Amazon Elastic Compute Cloud is the service you use to create and run virtual machines (VM), also known as instances. By completing the steps in this guided project, you will successfully launch an auto-scaling Amazon EC2 virtual machine using the AWS console within the AWS Free Tier. You will also verify the auto-scalable EC2 virtual machine and then terminate...

3. CNC Milling machine programming using G-Code

4.7

(331)

Learning to read and write CNC programs with FANUC G Code has never been so easy...

4. Quantum Computing and Quantum Machine Learning - Part 1

4.3

(295)

Foundational Course for Quantum Computing and Quantum Machine Learning...

5. Computer Vision with Embedded Machine Learning

Computer vision (CV) is a fascinating field of study that attempts to automate the process of assigning meaning to digital images or videos. In other words, we are helping computers see and understand the world around us! A number of machine learning (ML) algorithms and techniques can be used to accomplish CV tasks, and as ML becomes faster and more efficient, we can deploy these techniques to embedded systems. This course, offered by a partnership among Edge Impulse, OpenMV, Seeed Studio, and...

6. Build and Operate Machine Learning Solutions with Azure

Azure Machine Learning is a cloud platform for training, deploying, managing, and monitoring machine learning models. In this course, you will learn how to use the Azure Machine Learning Python SDK to create and manage enterprise-ready ML solutions. This is the third course in a five-course program that prepares you to take the DP-100: Designing and Implementing a Data Science Solution on Azurecertification exam. The certification exam is an opportunity to prove knowledge and expertise operate...

7. Fusion 360 CAD/CAM for CNC routers

4.5

(397)

Make any part using your CNC router with Fusion 360...

8. QC101 Quantum Computing & Intro to Quantum Machine Learning

4.5

(2,090)

Math-Based Introduction to Quantum Computing, Cryptography & Quantum Machine Learning. Code with Python, Q#, & Qiskit...

9. Unsupervised Machine Learning for Customer Market Segmentation

In this hands-on guided project, we will train unsupervised machine learning algorithms to perform customer market segmentation. Market segmentation is crucial for marketers since it enables them to launch targeted ad marketing campaigns that are tailored to customer's specific needs. Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions...

10. Auto Machine Learning (AutoML) Using AutoGluon

Hello everyone and welcome to this new hands-on project on AutoML with AutoGluon. In this project, we will use a power library known as AutoGluon to train several machine learning models to solve classification type problems. AutoGluon is the library behind Amazon web services autopilot, and it allows for quick prototyping of several powerful models using a few lines of code. You can add this project to your portfolio of projects which is essential for your next job interview...

11. Operating Systems from scratch - Part 2

4.7

(1,078)

Learn memory management in operating systems as operating system forms the core of computer science...

12. Introduction to CNC Programming

4.5

(1,678)

Learn to program CNC Routers and CNC Milling machines that use the GCODE language...

13. Machine Learning for Computer Vision

In the second course of the Computer Vision for Engineering and Science specialization, you will perform two of the most common computer vision tasks: classifying images and detecting objects. You will apply the entire machine learning workflow, from preparing your data to evaluating your results. By the end of this course, you’ll train machine learning models to classify images of street signs and detect material defects. You will use MATLAB throughout this course. MATLAB is the go-to choice...

14. Operating Systems Final Part (4): File Systems & Threads

4.6

(518)

Learn the concepts of Operating Systems from scratch as Operating System forms the core of Computer Science...

15. The Complete Machine Learning Course with Python

4.5

(6,881)

Build a Portfolio of 12 Machine Learning Projects with Python, SVM, Regression, Unsupervised Machine Learning & More!...

16. Machine Learning and Data Science Hands-on with Python and R

4.5

(1,342)

Machine Learning, Statistics, Python, AI, Tensorflow, AWS, Deep Learning, R Programming, NLP, Bayesian, BI and much more...

17. Machine Learning with Javascript

4.7

(3,132)

Master Machine Learning from scratch using Javascript and Tensorflow JS with hands-on projects...

18. DP-100: A-Z Machine Learning using Azure Machine Learning

4.4

(6,728)

Microsoft Azure DP-100: Designing and Implementing a Data Science Solution Exam Covered. Learn Azure Machine Learning...

19. Operating Systems from scratch - Part 1

4.5

(4,324)

Learn the concepts of Operating Systems from scratch as Operating System forms the core of Computer Science...