MLOps with Github and Docker
23 videos • 13,244 views • by Data Science Garage
1
MLOps Tutorial#2. Track ML Model Metrics across branches with Github Actions and Docker
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2
MLOps Tutorial#1. Continuous Integration (CI/CD) for ML Pipelines with Github Actions
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3
Build a Python Module and Share it with Pip Install
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4
Data Science Project Structure
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5
Airbnb End-to-End Machine Learning Platform | Bighead, Zipline and Redspot
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6
One-Hot-Encoding as a Bad solution in Data Science
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7
Engineering MLOps - Book Review | 2021 - Get Started with MLOps and MLOps AI Engineering Now
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8
Python Tutorial: How to run Unit Test | Part 1 | Step by Step
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9
How to Create Conda Virtual Environment and Install dependencies with One command | Python
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10
Your first AWS Lambda function ever | Very simple example
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11
AWS Step Functions to orchestrate Lambda functions - Step by Step Example
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12
Build and Run a Docker Container for your Machine Learning Model (Step by Step)
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13
How to Deploy ML model to AWS Sagemaker with mlflow and Docker - Step by step
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14
Microservices with FastAPI and Docker (Python based) - Hands on Tutorial
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15
How to install Kubernetes on Ubuntu 18.04 | 9 STEPS | explained
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16
Dockerize Flask API application with Dockerfile and Docker Compose
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17
AWS CodeCommit tutorial: your first Repo, Commit and Push
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18
Kubernetes Explained | High Level Explanation
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19
Send Slack Messages with This Python Script! - Clearly explained | Slack API Bot
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20
Install Jenkins on AWS EC2 Instance
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21
Deploy Flask application to AWS Elastic Beanstalk as a web app. | PART #2
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22
Data Versioning Control with Real ML Project | Hands-On Lesson #1
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23
Github Action to AWS ECR (Docker Image) | Full Hands-on Tutorial
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