AWS Certified Machine Learning - Specialty (MLS-C01) Cert Prep: 2 Exploratory Data Analysis

Focused View

Noah Gift

18:04

156 View

1. Introduction

001. Domain 2 Exploratory data analysis.mp4

01:51

2. Sanitize and Prepare Data for Modeling

002. Identify and handle missing data, corrupt d.mp4

01:28

003. Formatting, normalizing, augmenting, and sc.mp4

01:30

004. Labeled data.mp4

01:24

005. Data labeling tools.mp4

01:35

3. Perform Feature Engineering

006. Identify and extract features from data sets.mp4

01:44

007. Analyze and evaluate feature engineering concepts.mp4

01:34

4. Analyze and Visualize Data for Machine Learning

008. Graphing Scatterplot, time series,.mp4

03:46

009. Clustering Hierarchical, diagnosin.mp4

02:08

5. Conclusion

010. Next steps.mp4

01:04

Description

Join MLOps expert and CTO Noah Gift to learn all about the exploratory data analysis portion of the AWS Certified Machine Learning – Specialty (MLS-C01) certification. In this course, Noah explains how data preparation, feature engineering, and data visualization are essential for machine learning. He starts by covering data preparation for modeling, detailing how to identify and handle missing data; format, normalize, augment, and scale data; and data labeling tools. He then gets into feature engineering, the process of identifying and extracting features from data sets. Finally, Noah covers data visualization, illustrating graphs and clustering visualizations like scatterplots, histograms, box plots, and elbow plots.

This course was created by Noah Gift. We are pleased to host this training in our library.

More details

User Reviews

Rating

average 0

Total votes0

Focused display

Amazon AWS

Noah Gift

Instructor's Courses

Author of Practical MLOps, Enterprise MLOps, Developing on AWS with C#, Pragmatic AI, and Python for DevOps. Certified on Multiple MLOps certifications including Google-Professional Machine Learning Engineer and AWS Certified Machine Learning - Specialty. Adjunct Professor at Duke MIDS & Northwestern Graduate Data Science & AI. Held business roles including CTO, general manager, consulting CTO, and cloud architect. Consults with start-ups and other companies on machine learning and cloud architecture. AWS ML Hero, Python Software Foundation Fellow, AWS Subject Matter on Machine Learning, AWS Certified Solutions Architect, AWS Certified Machine Learning Specialist, AWS Certified Big Data Specialist, Google Certified Professional Architect, and AWS Academy Accredited Instructor. Published books, videos, and courses on cloud machine learning, DevOps, Python, Data Science, Big Data and AI. ★ Specialties ★ ° Cloud-native Machine Learning and AI ° Directly teaching cutting edge skills to students that lead to jobs ° Creating world-class content in all forms ° Building Companies ° Shipping new Products ° Leading and growing engineering teams ° Production Machine Learning, Deep Learning, Big Data, and AI ° Serverless Data Engineering ° Advising Early Stage Startups/Consulting CTO services ° Distributed Systems and Scalability

Linkedin Learning

View courses Linkedin Learning

LinkedIn Learning is an American online learning provider. It provides video courses taught by industry experts in software, creative, and business skills. It is a subsidiary of LinkedIn. All the courses on LinkedIn fall into four categories: Business, Creative, Technology and Certifications. It was founded in 1995 by Lynda Weinman as Lynda.com before being acquired by LinkedIn in 2015. Microsoft acquired LinkedIn in December 2016.