Machine packager education requirements

1. 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...

2. 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...

3. 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!...

4. Machine Learning with Javascript

4.7

(3,132)

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

5. 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...

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. Deployment of Machine Learning Models

4.5

(4,961)

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

8. 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...

9. Practical Machine Learning by Example in Python

4.2

(609)

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

10. 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...

11. Ensemble Machine Learning in Python: Random Forest, AdaBoost

4.6

(2,091)

Ensemble Methods: Boosting, Bagging, Boostrap, and Statistical Machine Learning for Data Science in Python...

12. Projects in Machine Learning: Beginner To Professional

4.3

(591)

A complete guide to master machine learning concepts and create real world ML solutions...

13. Data Science: Supervised Machine Learning in Python

4.6

(2,941)

Full Guide to Implementing Classic Machine Learning Algorithms in Python and with Scikit-Learn...

14. Machine Learning with Python: COMPLETE COURSE FOR BEGINNERS

4.6

(277)

Complete Machine Learning Course with Python for beginners...

15. AWS Certified Machine Learning Specialty Practice Exams

4.5

(324)

AWS Certified Machine Learning Practice Tests w/ Complete Explanations and References that covers all MLS-C01 topics!...

16. The Linux Command Line Bootcamp: Beginner To Power User

4.7

(5,536)

Level Up Your Skills And Take Control Of Your Machine, w/ Dozens of Commands, Projects, and Challenges!...

17. Machine Learning for Apps

4.5

(257)

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

18. Machine Learning Product Management: A Practical Guide 2023

4.5

(268)

Kick start your career in Machine Learning Product Management with just one course...

19. Bayesian Machine Learning in Python: A/B Testing

4.7

(6,579)

Data Science, Machine Learning, and Data Analytics Techniques for Marketing, Digital Media, Online Advertising, and More...