Crankshaft grinder 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. Google Cloud Machine Learning Engineer Certification Prep

4.5

(434)

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

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. Internal Combustion Engine Basics (Mechanical Engineering)

4.5

(723)

Learn how internal combustion engines work! Learn all of a combustion engine's main components and how they work!...

6. An Introduction to Machine Learning for Data Engineers

4.4

(3,291)

A Prerequisite for Tensorflow on Google's Cloud Platform for Data Engineers...

7. Machine Learning with Javascript

4.7

(3,132)

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

8. Executive Briefing: Machine Learning

4.1

(5,211)

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

9. 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...

10. The Complete Python Course for Machine Learning Engineers

4.5

(512)

Two Courses Now Included for the Price of One...

11. 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...

12. 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...

13. Azure Machine Learning & MLOps: Beginner to Advance

4.4

(465)

The most compressive course covering MLOps and machine learning on Azure Zero to Hero...

14. Google Earth Engine for Machine Learning & Change Detection

4.2

(359)

Become Expert in Spatial analysis & Remote Sensing for machine learning in land use / land cover in Google Earth Engine...

15. Machine Learning for Apps

4.5

(257)

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

16. 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...

17. Feature Engineering for Machine Learning

4.6

(3,061)

Learn imputation, variable encoding, discretization, feature extraction, how to work with datetime, outliers, and more...

18. 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...

19. Machine Learning Real World projects in Python

4.4

(885)

Build a Portfolio/Resume of Machine Learning projects case studies in Python & get a job of Data Scientist/ ML Engineer...