Udemy

Platform

English

Language

No-Code Development

Category

No-Code Machine Learning: Practical Guide to Modern ML Tools

Build Powerful Machine Learning Models w/Zero Coding! Master Google Vertex AI, Microsoft Azure ML Designer, & DataRobot

4.35 (27 reviews)

Students

6.5 hours

Content

Jun 2021

Last Update
Regular Price

BLUE HOST
Blue Host
Fast, easy, and secure WordPress hosting in minutes + 1 free domain name
65%OFF : $2.95/month

What you will learn

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, debt to income ratio, employment, 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.

Learn how to create multiple experiments using DataRobot AI and perform hyperparameter optimization.

Learn how to train multiple cutting-edge machine learning models using DataRobot AI and deploy the best model.


Description

Do you want to leverage the power of Machine Learning without writing any code?

Do you want to break into Machine Learning, but you feel overwhelmed and intimidated?

Do you want to leverage Machine Learning for your business, but you don’t have data science or mathematics background?

If the answer is yes to any of these questions, you came to the right place!

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.

In this course, we will cover top 3 brand new tools to build, train and deploy cutting edge machine learning models without writing a single line of code! We will cover the new Google Vertex AI, Microsoft Azure Machine Learning Designer, and DataRobot AI.


Screenshots

No-Code Machine Learning: Practical Guide to Modern ML Tools
No-Code Machine Learning: Practical Guide to Modern ML Tools
No-Code Machine Learning: Practical Guide to Modern ML Tools
No-Code Machine Learning: Practical Guide to Modern ML Tools

Content

Course Introduction, Outline and Key Learning Outcomes

Introduction and Welcome Message

Best Practices, Success Tips and Certification

Artificial Intelligence (AI) and Machine Learning (ML) Super Powers

Machine Learning: The Big Picture

Machine Learning Key Elements (Recipe!)

Course Outline and Key Learning Outcomes

Bonus Materials [Please download ASAP, Link expiring soon]

Bonus Materials

University Admission Prediction Using Google Vertex AI

The Rise of Machine Learning in Higher Education

Reading Material: The Rise of Machine Learning in Higher Education

Quiz: The Rise of Machine Learning in Higher Education

Machine Learning Regression 101

Google Vertex AI Demo Part 1: Setup and Upload

Google Vertex AI Demo Part 2: Model Training

Machine Learning Regression Models Metrics

Google Vertex AI Demo Part 3: Test and Deploy Trained Model

Recap and Concluding Remarks

Bank Loan Risk Prediction Using Data Robot AI

Introduction to Machine Learning in Finance/Banking

Reading Material: Machine Learning and AI in the Finance/Banking Industry

Quiz: Machine Learning and AI in Finance/Banking

Project Overview: Bank Loan Risk Prediction

Data Robot Demo Part #1: Sign Up and Dataset Upload

Data Robot Demo Part #2: Target Selection & Exploratory Data Analysis

Data Robot Demo Part #3: Model Training & Feature Importance

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

Price Forecasting Using Microsoft Azure Machine Learning Designer

Introduction to Machine Learning for Price Prediction

Reading Material: Machine Learning for Price Forecasting

Quiz: Machine Learning for Price Prediction

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

Mini Project Solution: Build and Test Multiple Models

Project Recap and Concluding Remarks

Conclusion

Thanks for Watching!

Links to Other Courses

Appendix

Introduction to XG-Boost [Optional Lecture/Additional Material]

What is boosting

Decision trees and ensemble learning

Gradient Boosting Deep Dive #1 [Optional Lecture/Additional Material]

Gradient Boosting Deep Dive #2 [Optional Lecture/Additional Material]

AWS SageMaker XGBoost


Coupons

DateDiscountStatus
6/25/202186% OFFExpired
7/21/2021100% OFFValid

4101304

Udemy ID

6/4/2021

Course created date

6/25/2021

Course Indexed date
Bot
Course Submitted by