Description: Start here if you want to complete the entire One AI Academy. You will discover what One AI has to offer, understand how One Model security interacts with One AI machine learning, gain foundational machine learning knowledge, and learn how to create, interpret, and refine machine learning models. Additionally, you'll explore One AI embedded insights such as forecasting and table insights. You will also learn about Generative AI in our webinar series.
Please note that modules should be watched in order, as each builds upon the previous ones.
Time to Complete: ~8 hours (webinar series is not factored into time to complete)
Modules
Introduction to One AI
Machine Learning 101
- Introduction to Machine Learning
- Supervised Learning
- Data Exploration
- Data Preprocessing
- Feature Engineering
- Cross-Validation
- Classifications
- Regressions
- Automated Machine Learning (AutoML)
- Model Deployment
- Ethical Considerations in Machine Learning
Machine Learning Modeling in One Model
- One AI Recipes
- Generative Attributes
- Scheduling Models & Data Augmentations
- Voluntary Attrition Risk Model
- New Hire Failure Risk Model
- High Performer Likelihood Model
- Promotion Classification Model
- Custom Regression Model (Salary Prediction)
- One AI Machine Learning Model Troubleshooting Guide
Interpreting Models in One Model
- SHAP
- One AI Exploratory Data Analysis (EDA) Report
- One AI Results Summary
- Classification Model Evaluation
- Regression Model Evaluation
Refining Models in One Model
One AI Model Metric & Storyboard Creation
- Creating Metrics & Storyboards for Attrition Risk Models
- Creating Metrics & Storyboards for New Hire Success / Failure Risk Models
- Creating Metrics & Storyboards for High Performer Likelihood Models
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