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Machine Learning with DataRobot AI Cloud Platform

Prodramp via YouTube

Overview

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This tutorial demonstrates end-to-end supervised machine learning in DataRobot AI Cloud, covering dataset import, exploratory analysis, model training, evaluation, tuning, interpretability, fairness, and deployment.

Syllabus

- Video Start
- Video Content Intro
- AI cloud platform access
- Data Preparation Tutorial Intro
- ML Development Project
- Importing Dataset for ML
- ML Focussed EDA with source data
- Supervised ML with AI Platform
- Advance Options with ML Training
- ML Training Start
- Data Quality Exploration
- Features List in Source Data
- Features Association
- Data Quality Assessment
- AI Models in ML Project
- AI Models Repo
- Bias and Fairness
- Feature Impact and Feature Effect
- Prediction Explanations
- Explore Model Details
- Model Evaluations
- Advanced Model Tuning
- Model comparisons
- Model Speed vs Model Accuracy
- Model Insight
- Improving Model Accuracy
- Ensembling or Model Blending
- Deploy Model from ML Pipeline
- AI Report Generation
- AI Platform Documentation
- Thanks
- Credits

Taught by

Prodramp

Reviews

5.0 rating, based on 1 Class Central review

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  • Profile image for Subodh Dharmadhikari
    Subodh Dharmadhikari
    It was very good course.
    DataRobot is future of ML development and deployment.
    The course explained key content very nicely.

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