Drawing 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. 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...

3. Feature Selection for Machine Learning

4.7

(2,048)

Learn filter, wrapper, and embedded methods, recursive feature elimination, exhaustive search, feature shuffling & more...

4. 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...

5. Executive Briefing: Machine Learning

4.1

(5,211)

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

6. 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!...

7. Data Science: Complete Data Science & Machine Learning

4.6

(2,869)

Learn and master the Data Science, Python for Machine Learning, Math for Machine Learning, Statistics for Data Science...

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. Machine Learning with Javascript

4.7

(3,132)

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

10. Data Science: Master Machine Learning Without Coding

4.7

(911)

Learn Fundamentals Of Data Science & Machine Learning With Rapidminer (No Coding). Dataset & Solutions Included...

11. 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...

12. Machine Learning, Data Science and Generative AI with Python

4.6

(29,651)

Complete hands-on machine learning and AI tutorial with data science, Tensorflow, GPT, Open AI, and neural networks...

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. Deployment of Machine Learning Models

4.5

(4,961)

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

15. Machine Learning and AI: Support Vector Machines in Python

4.7

(1,423)

Artificial Intelligence and Data Science Algorithms in Python for Classification and Regression...

16. Mastering Data Science and Machine Learning Fundamentals

4.6

(1,396)

Data Science & Machine Learning- Data Science, Machine Learning, Regression, Classification and Clustering [THEORY ONLY]...

17. 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!)...

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. Complete Machine Learning & Data Science with Python ML A-Z

4.6

(456)

Learn Numpy, Pandas, Matplotlib, Seaborn, Scipy, Supervised & Unsupervised Machine Learning A-Z and feature engineering...