No-Code Machine Learning: Practical Guide to Modern ML Tools
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No-Code Machine Learning: Practical Guide to Modern ML Tools at UDEMY Overview
Duration | 6 hours |
Total fee | ₹3,499 |
Mode of learning | Online |
Credential | Certificate |
No-Code Machine Learning: Practical Guide to Modern ML Tools at UDEMY Highlights
- Earn a Certificate of completion from Udemy
- Get a 30 days money back guarantee on the course
- Get full lifetime access of this course material
- Learn from 4 articles and 1 downloadable resource
No-Code Machine Learning: Practical Guide to Modern ML Tools at UDEMY Course details
- For anyone who's interested in building practical real-world Machine Learning applications but doesn't have any coding skills
- Master Machine Learning fundamentals without any intimidating mathematics and without writing a single line of code
- Build, Train and Deploy machine learning models that could predict loan default using customer features such as income and loan term using Microsoft Azure
- Master Google Vertex AI to automate the process of building and training machine learning models at scale
- Understand trained machine learning models by exploring feature importance
- This course is the only course available online that empowers anyone with zero coding and mathematics background to build, train, test and deploy machine learning models at scale
- Machine Learning is one of the hottest tech fields to be in right now, the field is exploding with opportunities and career prospects
- Machine learning is the study of algorithms that teach computers to learn from experience
- Through experience (i.e.: more training data), computers can continuously improve their performance
- Machine Learning techniques are widely used in several sectors nowadays such as banking, healthcare, transportation, and technology
No-Code Machine Learning: Practical Guide to Modern ML Tools at UDEMY Curriculum
Introduction
Best Practices, Success Tips and Certification
Machine Learning: The Big Picture
Machine Learning Key Elements (Recipe!)
Machine Learning Regression 101
Google Vertex AI Demo Part 1: Setup and Upload
Machine Learning Regression Models Metrics
Google Vertex AI Demo Part 3: Test and Deploy Trained Model
Recap and Concluding Remarks
Data Robot Demo Part #1: Sign Up and Dataset Upload
Data Robot Demo Part #2: Target Selection & Exploratory Data Analysis
Data Robot Demo Part #4: Confusion Matrix, Precision, Recall, ROC, AUC
Data Robot Demo Part #5: Model Assessment
Data Robot Demo Part #6: Hyper Parameters Tuning
Data Robot Demo Part #7: Model Deployment and Making Inference
Project Recap and Concluding Remarks
Project Overview
Microsoft Azure ML Demo Part #1: ML Signup and Studio Launch
Microsoft Azure ML Demo Part #2: Dataset Creation
Microsoft Azure ML Demo Part #3: Build ML Pipeline with ML Azure Designer
Microsoft Azure ML Demo Part #4: Execute and Test the Pipeline
Microsoft Azure ML Demo Part #5: Deploy Model and Make Inference
Mini Project: Build and Test Multiple Models
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