Machine builder 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. Support Vector Machine Classification in Python

In this 1-hour long guided project-based course, you will learn how to use Python to implement a Support Vector Machine algorithm for classification. This type of algorithm classifies output data and makes predictions. The output of this model is a set of visualized scattered plots separated with a straight line. You will learn the fundamental theory and practical illustrations behind Support Vector Machines and learn to fit, examine, and utilize supervised Classification models using SVM to...

3. Cognex In-Sight Machine Vision Industrial Development SCADA

4.5

(321)

Programming Guide of Cognex In-Sight Machine Vision Systems in Easy Builder - PLC Automation SCADA Development HMI...

4. 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!...

5. Build your first Machine Learning Pipeline using Dataiku

As part of this guided project, you shall build your first Machine Learning Pipeline using DataIku tool without writing a single line of code. You shall build a prediction model which inputs COVID daily count data across the world and predict COVID fatalities.DataIku tool is a low code no code platform which is gaining traction with citizen data scientist to quickly build and deploy their models...

6. Executive Briefing: Machine Learning

4.1

(5,211)

Machine Learning for Executives and Top-Level Managers: understand Machine Learning in under 90 Minutes...

7. Machine Learning with Javascript

4.7

(3,132)

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

8. Machine Learning Classification Bootcamp in Python

4.5

(934)

Build 10 Practical Projects and Advance Your Skills in Machine Learning Using Python and Scikit Learn...

9. 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...

10. 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...

11. Machine Learning for Apps

4.5

(257)

Start building more intelligent apps with Machine Learning. Take advantage of this new foundational framework!...

12. Machine Learning: A Beginner's Basic Introduction

4

(338)

Learn Machine Learning Basics with a Practical Example...

13. No-Code Machine Learning: Practical Guide to Modern ML Tools

4.4

(563)

Build Powerful Machine Learning Models w/Zero Coding! Master Google Vertex AI, Microsoft Azure ML Designer, & Data Robot...

14. Machine Learning: Build neural networks in 77 lines of code

4.5

(284)

Machine Learning and Artificial Intelligence for beginners. How to build a neural network in 77 lines of Python code...

15. Deployment of Machine Learning Models

4.5

(4,961)

Learn how to integrate robust and reliable Machine Learning Pipelines in Production...

16. Complete iOS Machine Learning Masterclass

4.6

(295)

The most comprehensive course on Machine Learning for i OS development. Master building smart apps i OS Swift 4...

17. Google Cloud Machine Learning Engineer Certification Prep

4.5

(434)

Building, Deploying, and Managing Machine Learning Services at Scale...

18. Machine Learning No-Code Approach: Using Azure ML Studio

4.9

(542)

A hands-on approach to Machine Learning using the easy drag-n-drop environment of Azure Machine Learning Studio...

19. Embedded System Design using UML State Machines

4.7

(371)

Learn to implement event-driven embedded applications using simple and hierarchical UML state machine approach...