Day 5 – Introduction to machine learning, ML with aws Sagemaker
Video by Pantech eLearning via YouTube
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1 Month Internship on Amazon web sevices
Fee: Rs.1999 | Discount Fee: Rs.1000
Final Fee: Rs.999
Use Code – AWSMC1
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Part – 1 : Introduction to amazon web services
Day 1 – aws Introduction, account creation
Day 2 – aws cloud essentials 1 – Virtual machines (EC2), ELB, EBS
Day 3 – aws cloud essentials 2 – aws Lambda, docker container, ECS, EKS
Day 4 – aws cloud essentials 3 – RDS, DynamoDB, S3
Part – 2 : Machine learning
Day 5 – Introduction to machine learning, ML with aws Sagemaker
Day 6 – Data collection, Pandas for machine learning
Day 7 – Data Engineering with (aws glue, glue ETL, athena)
Day 8 – Numpy for machine learning
Day 9 – Matplotlib, Seaborn for machine learning
Dat 10 – aws data wrangler
Day 11 – Feature Scaling, encoding, handling null values
Day 12 – Outlier detection & handing, feature selection, train test split
Day 13 – Data preprocessing with SageMaker’s Scikit-Learn Container
Day 14 – Machine learning Modeling, model evaluation
Day 15 – aws Sagemaker built-in Algorithms for ML
Day 16 – Machine learning project – classification – Vehicle insurance claim fraud detection
Day 17 – Machine learning project – Regression – Abalone age prediction
Day 18 – AWS Sagemaker canvas, autopilot
Day 19 – Deep learning introduction
Day 20 – CNN project – Dog / Cat identification project
Day 21 – RNN, NLP basics
Day 22 – NLP project – Clothing – e commerce review project
Part – 3 : Deployment
Day 23 – Version control with Git & Github
Day 24 – CI/CD with Github
Day 25 – Deploying model with aws sagemaker
Day 26 – CI/CD with sagemaker pipeline
Day 27 – Census income prediction project with deployment
Day 28 – Music recommender system project with deployment
Day 29 – AWS AI services – Amazon Rekognition, Comprehend, Polly
Day 30 – AWS AI services – Lex, Transcribe, Textract
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