AWSML Question Answers

[MLS-C01] AWS Certified Machine Learning – Specialty QnA Day 3 & 4 Live Session FAQs.

The blog post – https://k21academy.com/awsml21 will cover the Q/A’s from Day 3 & 4 of AWS Certified Machine Learning – Specialty in which we have covered Module 3: Data Engineering Basics and Module 4: Data Engineering in AWS FAQs. This blog will help you to get started with AWS Certified Machine Learning – Specialty[MLS-C01].

We will cover:

• Bias or Variance Trade-off

• Data Cleaning & Normalization

• Normalizing numerical data

• K-Fold cross-validation to avoid overfitting [Hands-on]

• Feature Engineering and the Curse of Dimensionality

• Techniques for Imputation Missing Data • Oversampling, Undersampling, and SMOTE

• Binning, Transforming, Encoding, Scaling, and Shuffling

• Dealing with Unbalanced data

• Handling outliers [Hands-on]

• Introduction to Data Engineering

• Amazon S3 [Hands-on]

• Amazon S3 – Storage classes & Lifecycle Rules

• S3 Security

• Amazon S3 Security and so on…

If you are planning to become a Certified Machine Learning Specialist then register for the FREE Class at https://k21academy.com/awsml02.

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Also, don’t forget to join us on our FREE Telegram group https://t.me/aimlK21academy , and be the first to receive AWSML related news and updates.

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About the Author Atul Kumar

Oracle ACE, Author, Speaker and Founder of K21 Technologies & K21 Academy : Specialising in Design, Implement, and Trainings.

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