Bindery worker 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. 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...

3. 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!...

4. Productivity Machine: Time Management & Productivity Hacks

4.5

(27,996)

Productivity & Time Management Strategies for Goal Setting, Eliminating Distractions, & Building Habits for Success...

5. Build your first Machine Learning Pipeline using Dataiku

As part of this guided project, you shall build your first Machine Learning Pipeline using DataIku tool without writing a single line of code. You shall build a prediction model which inputs COVID daily count data across the world and predict COVID fatalities.DataIku tool is a low code no code platform which is gaining traction with citizen data scientist to quickly build and deploy their models...

6. 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...

7. Azure Machine Learning & MLOps: Beginner to Advance

4.4

(465)

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

8. Learn Machine learning & AI (Including Hands-on 3 Projects)

4.2

(1,155)

Get well versed with Machine learning and AI by working on Hands-on Projects...

9. 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...

10. 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...

11. 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...

12. 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!)...

13. 5 Machine Learning Projects from Dataisgood / Great Reviews

4

(711)

Learn Complete Machine Learning Bootcamp with Python. Build 5 Complete Machine Learning Real World Projects with Python...

14. Machine Learning- From Basics to Advanced

4.3

(2,163)

A beginners guide to learn Machine Learning (including Hands-on projects - From Basic to Advance Level)...

15. Regression Analysis for Statistics & Machine Learning in R

4.8

(539)

Learn Complete Hands-On Regression Analysis for Practical Statistical Modelling and Machine Learning in R...

16. Projects in Machine Learning: Beginner To Professional

4.3

(591)

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

17. 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...

18. Machine Learning with Imbalanced Data

4.7

(646)

Learn to over-sample and under-sample your data, apply SMOTE, ensemble methods, and cost-sensitive learning...

19. 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]...