End To End Machine Learning | ML Model Deployment | Part VI #10hoursofml



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Welcome to the End to End Machine Learning Live Classes by Satyajit Pattnaik.

๐Ÿ”ด Watch Part 1: https://youtube.com/live/ocse1X_rtSI
๐Ÿ”ด Watch Part 2: https://youtube.com/live/LFa6ZYRwCeE
๐Ÿ”ด Watch Part 3: https://youtube.com/live/M5LSjTdrg1Y
๐Ÿ”ด Watch Part 4: https://youtube.com/live/2CG9MkhnN4k
๐Ÿ”ด Watch Part 5: https://www.youtube.com/live/lrt7AfAKDtE

๐Ÿ”ด Code: https://github.com/pik1989/MLClasses
๐Ÿ”ด Miro: https://miro.com/app/board/uXjVKxejZII=/?share_link_id=572646538591

This is the last class of the series, and below is the Agenda that we will learn in this video:

๐Ÿ”ด Agenda of this call:

Machine Learning Model Deployment

๐Ÿ”ด Overall Agenda:

1. End to End Machine Learning
2. Classification Algorithms & Practical’s
3. Regression Algorithms & Practical’s
4. Clustering Algorithms & Practical’s
5. Time Series Analysis & Forecasting & Practical’s
6. Hyper Parameter Optimization
7. Feature Engineering
8. Projects with Deployment (AWS)

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Check Out Our Other Helpful Videos:๐Ÿ˜

โžฎ Data Analyst vs Data Scientist vs Data Engineer – Roles || Responsibilities & Skills
https://bit.ly/3qsg2pL
โžฎLive Implementation of End To End Machine Learning Project With Deployment | Customer Churn
https://bit.ly/3FqPQjF
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