Mail 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. Fundamentals of Logistics, Supply Chain & Customer Service

4.5

(3,822)

Learn Logistics, Supply Chain and Customer Service. 3 Courses in 1...

3. Easily Identify Spam & Phishing E-mails

4.5

(8,858)

Identify e-mail scams BEFORE your corporate or personal data is breached!...

4. 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...

5. 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!)...

6. 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!...

7. Excel for Data Science and Machine Learning

4.5

(413)

Perform Machine Learning and Advanced Statistical Analysis On Your Own - Even If You Don't Code! 100% in Excel...

8. Machine Learning for Data Analysis: Data Profiling & QA

4.6

(3,130)

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

9. Data Science and Machine Learning using Python - A Bootcamp

4

(553)

Numpy Pandas Matplotlib Seaborn Ploty Machine Learning Scikit-Learn Data Science Recommender system NLP Theory Hands-on...

10. 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...

11. 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]...

12. 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...

13. Data Entry Skills: A Complete Data Entry Course from Scratch

4.7

(533)

A Complete Guide to Data Entry Skills: Learn Data Entry Skills and become a Data Entry Pro & Get a Online Data Entry Job...

14. Complete Machine Learning & Data Science Bootcamp 2023

4.6

(18,630)

Learn Data Science, Data Analysis, Machine Learning (Artificial Intelligence) and Python with Tensorflow, Pandas & more!...

15. Learn Python for Data Science & Machine Learning from A-Z

4.2

(1,723)

Become a professional Data Scientist and learn how to use Num Py, Pandas, Machine Learning and more!...

16. Learn Machine Learning in 21 Days

4

(613)

Learn to create Machine Learning Algorithms in Python Data Science enthusiasts. Code templates included...

17. Learn Data Science & Machine Learning with R from A-Z

4.7

(1,340)

Become a professional Data Scientist with R and learn Machine Learning, Data Analysis + Visualization, Web Apps + more!...

18. Data Science & Machine Learning(Theory+Projects)A-Z 90 HOURS

4.4

(489)

Data Science Python-Learn Statistics for Data Science, Machine Learning for Data Science, Deep Learning for Data Science...

19. Python for Machine Learning & Data Science Masterclass

4.6

(13,349)

Learn about Data Science and Machine Learning with Python! Including Numpy, Pandas, Matplotlib, Scikit-Learn and more!...