I create platforms that enable people to solve problems.

🔥 We're among thetop MLOps repositories on GitHub

• GokuMohandas/Made-With-ML: lesson content forMade With ML.
• GokuMohandas/mlops-course: repository for theMLOps course.
• GokuMohandas/testing-ml: repository for thetesting lesson.
• GokuMohandas/monitoring-ml: repository for themonitoring lesson.
• GokuMohandas/feature-store: repository for thefeature store lesson.

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• 💻  ML@Anyscale
  
• 🌏  Founder@MadeWithML (acq.)
  
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1. Made-With-MLMade-With-MLPublic

   Learn how to design, develop, deploy and iterate on production-grade ML applications.

   Jupyter Notebook 41k 6.4k

2. mlops-coursemlops-coursePublic

   Learn how to design, develop, deploy and iterate on production-grade ML applications.

   Jupyter Notebook 3.2k 556

3. testing-mltesting-mlPublic

   Learn how to create reliable ML systems by testing code, data and models.

   Jupyter Notebook 87 13

4. monitoring-mlmonitoring-mlPublic

   Learn how to monitor ML systems to identify and mitigate sources of drift before model performance decay.

   Jupyter Notebook 87 18

5. feature-storefeature-storePublic

   Using a feature store to connect the DataOps and MLOps workflows to enable collaborative teams to develop efficiently.

   Jupyter Notebook 56 6

6. data-engineeringdata-engineeringPublic

   Construct a modern data stack and orchestration the workflows to create high quality data for analytics and ML applications.

   Jupyter Notebook 219 37