Machine helper 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. Machine Learning Engineering for Production (MLOps)

Understanding machine learning and deep learning concepts is essential, but if you’re looking to build an effective AI career, you need production engineering capabilities as well.\n\nEffectively deploying machine learning models requires competencies more commonly found in technical fields such as software engineering and DevOps. Machine learning engineering for production combines the foundational concepts of machine learning with the functional expertise of modern software development and...

3. 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...

4. Machine Learning with Javascript

4.7

(3,132)

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

5. 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!...

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 Classification Bootcamp in Python

4.5

(934)

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

8. AWS Certified Machine Learning Specialty 2023 - Hands On!

4.6

(10,643)

AWS machine learning certification preparation - learn Sage Maker, generative AI, data engineering, modeling & more...

9. Deployment of Machine Learning Models

4.5

(4,961)

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

10. Introduction to World Machine

4.8

(285)

Gain a strong foundation into the world of procedural terrain generation taught by a 13-year game industry veteran...

11. 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...

12. 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...

13. Introduction to Machine Learning for Data Science

4.6

(13,692)

A primer on Machine Learning for Data Science. Revealed for everyday people, by the Backyard Data Scientist...

14. Machine Learning for Data Analysis: Unsupervised Learning

4.8

(282)

Machine Learning made simple with Excel! Unsupervised learning topics for advanced data analysis & business intelligence...

15. 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...

16. Practical Machine Learning by Example in Python

4.2

(609)

A Deep Dive into Building Machine Learning and Deep Learning models...

17. Machine Learning: A Beginner's Basic Introduction

4

(338)

Learn Machine Learning Basics with a Practical Example...

18. Machine Learning for Data Analysis: Classification Modeling

4.7

(439)

Machine Learning made simple with Excel! Classification for advanced data analysis & business intelligence (no coding!)...

19. Azure Machine Learning using Cognitive Services

4.8

(433)

Learn the Azure Machine Learning Studio, Azure Bot Service, Video Indexing service, Computer Vision for OCR and more!...