4.35 (27 reviews)
☑ 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.
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.
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]
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
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
Thanks for Watching!
Links to Other Courses
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