Completed
- ML Training Start
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Classroom Contents
Machine Learning with DataRobot AI Cloud Platform
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- 1 - Video Start
- 2 - Video Content Intro
- 3 - AI cloud platform access
- 4 - Data Preparation Tutorial Intro
- 5 - ML Development Project
- 6 - Importing Dataset for ML
- 7 - ML Focussed EDA with source data
- 8 - Supervised ML with AI Platform
- 9 - Advance Options with ML Training
- 10 - ML Training Start
- 11 - Data Quality Exploration
- 12 - Features List in Source Data
- 13 - Features Association
- 14 - Data Quality Assessment
- 15 - AI Models in ML Project
- 16 - AI Models Repo
- 17 - Bias and Fairness
- 18 - Feature Impact and Feature Effect
- 19 - Prediction Explanations
- 20 - Explore Model Details
- 21 - Model Evaluations
- 22 - Advanced Model Tuning
- 23 - Model comparisons
- 24 - Model Speed vs Model Accuracy
- 25 - Model Insight
- 26 - Improving Model Accuracy
- 27 - Ensembling or Model Blending
- 28 - Deploy Model from ML Pipeline
- 29 - AI Report Generation
- 30 - AI Platform Documentation
- 31 - Thanks
- 32 - Credits
