Udemy - Deployment of Machine Learning Models

Files:

• 1. Introduction to the course.mp4 (37.6 MB)
• 1. Introduction to the course.vtt (7.7 KB)
• 2. Course curriculum overview.mp4 (48.2 MB)
• 2. Course curriculum overview.vtt (9.2 KB)
• 3. Knowledge requirements.mp4 (17.2 MB)
• 3. Knowledge requirements.vtt (4.4 KB)
• 4. How to Approach this course.html (3.3 KB)
• 5. Guide to Setting up your Computer.html (3.9 KB)
• 6. Slides covered in this course.html (0.1 KB)
• 6.1 DMLM_Slides.zip.zip (13.4 MB)
• 7. Notes covered in this course.html (0.1 KB)
• 7.1 DMLM_Notes.zip.zip (1.5 MB)
• 8. FAQ Where can I learn more about the required skills.html (1.0 KB)

• 1. 10.1 - Introduction.mp4 (26.9 MB)
• 1. 10.1 - Introduction.vtt (4.4 KB)
• 1.1 Section10.1_Notes.pdf.pdf (76.7 KB)
• 2. 10.2 - Heroku Account Creation.mp4 (20.9 MB)
• 2. 10.2 - Heroku Account Creation.vtt (2.3 KB)
• 2.1 Section10.2_Notes.pdf.pdf (61.4 KB)
• 3. 10.3 - Heroku Config.mp4 (32.2 MB)
• 3. 10.3 - Heroku Config.vtt (4.8 KB)
• 3.1 Section10.3_Notes.pdf.pdf (69.0 KB)
• 4. 10.4 - Testing the Deployment Manually.mp4 (12.3 MB)
• 4. 10.4 - Testing the Deployment Manually.vtt (1.6 KB)
• 4.1 Section10.4_Notes.pdf.pdf (69.8 KB)
• 5. 10.5 - Deploying to Heroku via CI.mp4 (29.1 MB)
• 5. 10.5 - Deploying to Heroku via CI.vtt (3.7 KB)
• 5.1 Section10.5_Notes.pdf.pdf (67.9 KB)
• 6. 10.6 - Wrap Up.mp4 (13.5 MB)
• 6. 10.6 - Wrap Up.vtt (2.1 KB)
• 6.1 Section10.6_Notes.pdf.pdf (63.9 KB)

• 1. 11.1 Introduction to Containers and Docker.mp4 (31.5 MB)
• 1. 11.1 Introduction to Containers and Docker.vtt (4.4 KB)
• 1.1 Section11.1_Notes.pdf.pdf (70.2 KB)
• 2. 11.2 Installing Docker.mp4 (26.7 MB)
• 2. 11.2 Installing Docker.vtt (2.4 KB)
• 2.1 Section11.2_Notes.pdf.pdf (77.8 KB)
• 3. 11.3 Creating Our API App Dockerfile.mp4 (21.6 MB)
• 3. 11.3 Creating Our API App Dockerfile.vtt (2.9 KB)
• 3.1 Section11.3_Notes.pdf.pdf (58.5 KB)
• 4. 11.4 Building and Running the Docker Container.mp4 (26.7 MB)
• 4. 11.4 Building and Running the Docker Container.vtt (3.6 KB)
• 4.1 Section11.4_Notes.pdf.pdf (94.1 KB)
• 5. 11.5 Releasing to Heroku with Docker.mp4 (46.9 MB)
• 5. 11.5 Releasing to Heroku with Docker.vtt (5.2 KB)
• 5.1 Section11.5_Notes.pdf.pdf (56.6 KB)
• 6. 11.6 - Wrap Up.mp4 (7.7 MB)
• 6. 11.6 - Wrap Up.vtt (1.6 KB)
• 6.1 Section11.6_Notes.pdf.pdf (82.4 KB)

• 1. 12.1 - Introduction to AWS.mp4 (18.7 MB)
• 1. 12.1 - Introduction to AWS.vtt (3.2 KB)
• 10. 12.9 - Uploading Images to the Elastic Container Registry (ECR).mp4 (49.8 MB)
• 10. 12.9 - Uploading Images to the Elastic Container Registry (ECR).vtt (4.2 KB)
• 10.1 Section12.9_Notes.pdf.pdf (72.4 KB)
• 11. 12.10 - Creating the ECS Cluster with Fargate Launch Method.mp4 (38.1 MB)
• 11. 12.10 - Creating the ECS Cluster with Fargate Launch Method.vtt (3.8 KB)
• 11.1 Section12.10_Notes.pdf.pdf (56.9 KB)
• 12. 12.11 - Creating the ECS Cluster with the EC2 Launch Method.mp4 (59.9 MB)
• 12. 12.11 - Creating the ECS Cluster with the EC2 Launch Method.vtt (6.4 KB)
• 12.1 Section12.11_Notes.pdf.pdf (57.5 KB)
• 13. 12.12 - Updating the Cluster Containers.mp4 (31.0 MB)
• 13. 12.12 - Updating the Cluster Containers.vtt (3.5 KB)
• 13.1 Section12.12_Notes.pdf.pdf (67.5 KB)
• 14. 12.13 - Tearing down the ECS Cluster.mp4 (7.0 MB)
• 14. 12.13 - Tearing down the ECS Cluster.vtt (0.7 KB)
• 14.1 Section12.13_Notes.pdf.pdf (60.1 KB)
• 15. 12.14 - Deploying to ECS via the CI pipeline.mp4 (23.5 MB)
• 15. 12.14 - Deploying to ECS via the CI pipeline.vtt (2.6 KB)
• 15.1 Section12.14_Notes.pdf.pdf (64.2 KB)
• 16. 12.15 - Wrap Up.mp4 (9.0 MB)
• 16. 12.15 - Wrap Up.vtt (1.9 KB)
• 16.1 Section12.15_Notes.pdf.pdf (56.6 KB)
• 2. 12.2 - AWS Costs and Caution.mp4 (25.5 MB)
• 2. 12.2 - AWS Costs and Caution.vtt (2.4 KB)
• 2.1 Section12.2_Notes.pdf.pdf (74.7 KB)
• 3. 12.3a - Intro to AWS ECS.mp4 (22.8 MB)
• 3. 12.3a - Intro to AWS ECS.vtt (4.5 KB)
• 3.1 Section12.3_Notes.pdf.pdf (55.1 KB)
• 4. 12.3b - Container Orchestration Options Kubernetes, ECS, Docker Swarm.mp4 (23.8 MB)
• 4. 12.3b - Container Orchestration Options Kubernetes, ECS, Docker Swarm.vtt (3.6 KB)
• 4.1 Section12.3_Notes.pdf.pdf (55.1 KB)
• 5. 12.4 - Create an AWS Account.mp4 (4.9 MB)
• 5. 12.4 - Create an AWS Account.vtt (0.6 KB)
• 5.1 Section12.4_Notes.pdf.pdf (53.5 KB)
• 6. 12.5 - Setting Permissions with IAM.mp4 (23.2 MB)
• 6. 12.5 - Setting Permissions with IAM.vtt (3.0 KB)
• 6.1 Section12.5_Notes.pdf.pdf (57.9 KB)
• 7. 12.6 - Installing the AWS CLI.mp4 (28.9 MB)
• 7. 12.6 - Installing the AWS CLI.vtt (2.3 KB)
• 7.1 Section12.6_Notes.pdf.pdf (56.9 KB)
• 8. 12.7 - Configuring the AWS CLI.mp4 (20.8 MB)
• 8. 12.7 - Configuring the AWS CLI.vtt (2.8 KB)
• 8.1 Section12.7_Notes.pdf.pdf (83.0 KB)
• 9. 12.8 - Intro the Elastic Container Registry (ECR).mp4 (9.4 MB)
• 9. 12.8 - Intro the Elastic Container Registry (ECR).vtt (1.2 KB)
• 9.1 Section12.8_Notes.pdf.pdf (55.3 KB)

• 1. Challenges of using Big Data in Machine Learning.mp4 (15.3 MB)
• 1. Challenges of using Big Data in Machine Learning.vtt (2.4 KB)
• 10. 13.10 - Additional Considerations and Wrap Up.mp4 (20.8 MB)
• 10. 13.10 - Additional Considerations and Wrap Up.vtt (3.1 KB)
• 10.1 Section13.10_Notes.pdf.pdf (60.0 KB)
• 2. Introduction to a Large Dataset - Plant Seedlings Images.mp4 (16.7 MB)
• 2. Introduction to a Large Dataset - Plant Seedlings Images.vtt (1.9 KB)
• 3. Building a CNN in the Research Environment.mp4 (88.8 MB)
• 3. Building a CNN in the Research Environment.vtt (10.3 KB)
• 3.1 CNN_Analysis_and Model.zip.zip (1.5 MB)
• 4. Production Code for a CNN Learning Pipeline.mp4 (79.5 MB)
• 4. Production Code for a CNN Learning Pipeline.vtt (9.1 KB)
• 4.1 CNNProdCode.zip.zip (4.7 KB)
• 5. Reproducibility in Neural Networks.mp4 (17.0 MB)
• 5. Reproducibility in Neural Networks.vtt (3.7 KB)
• 6. Setting the Seed for Keras.html (3.6 KB)
• 7. Seed for Neural Networks - Additional reading resources.html (0.4 KB)
• 8. 13.8 - Packaging the CNN.mp4 (71.9 MB)
• 8. 13.8 - Packaging the CNN.vtt (6.1 KB)
• 8.1 Section13.8_Notes.pdf.pdf (71.6 KB)
• 9. 13.9 - Adding the CNN to the API.mp4 (41.3 MB)
• 9. 13.9 - Adding the CNN to the API.vtt (3.9 KB)
• 9.1 Section13.9_Notes.pdf.pdf (53.2 KB)

• 1. Troubleshooting.html (0.1 KB)
• 1.1 Troubleshooting.pdf.pdf (223.4 KB)

• 1. Bonus Discount for other courses.html (0.8 KB)

• 1. Machine Learning Pipeline Overview.mp4 (60.5 MB)
• 1. Machine Learning Pipeline Overview.vtt (8.8 KB)
• 10. Getting Ready for Deployment - Demo.mp4 (67.8 MB)
• 10. Getting Ready for Deployment - Demo.vtt (9.0 KB)
• 11. Bonus Machine Learning Pipeline Additional Resources.mp4 (25.4 MB)
• 11. Bonus Machine Learning Pipeline Additional Resources.vtt (2.5 KB)
• 12. Randomness in Machine Learning - Setting the Seed.html (2.5 KB)
• 13. Randomness in Machine Learning - Additional reading resources.html (0.5 KB)
• 14. FAQ Where can I learn more about the pipeline steps.html (0.6 KB)
• 2. Machine Learning Pipeline Feature Engineering.mp4 (57.7 MB)
• 2. Machine Learning Pipeline Feature Engineering.vtt (9.3 KB)
• 3. Machine Learning Pipeline Feature Selection.mp4 (48.4 MB)
• 3. Machine Learning Pipeline Feature Selection.vtt (11.2 KB)
• 4. Machine Learning Pipeline Model Building.mp4 (17.8 MB)
• 4. Machine Learning Pipeline Model Building.vtt (3.5 KB)
• 5. Jupyter notebooks covered in this section.html (0.1 KB)
• 5.1 MLPipeline-Notebooks.zip.zip (1.2 MB)
• 6. Data Analysis - Demo.mp4 (135.4 MB)
• 6. Data Analysis - Demo.vtt (21.3 KB)
• 7. Feature Engineering - Demo.mp4 (98.2 MB)
• 7. Feature Engineering - Demo.vtt (14.1 KB)
• 8. Feature Selection - Demo.mp4 (35.4 MB)
• 8. Feature Selection - Demo.vtt (4.1 KB)
• 9. Model Building - Demo.mp4 (34.1 MB)
• 9. Model Building - Demo.vtt (5.2 KB)

• 1. Machine Learning System Architecture and Why it Matters.mp4 (10.9 MB)
• 1. Machine Learning System Architecture and Why it Matters.vtt (2.2 KB)
• 2. Specific Challenges of Machine Learning Systems.mp4 (39.1 MB)
• 2. Specific Challenges of Machine Learning Systems.vtt (6.7 KB)
• 3. Machine Learning System Approaches.mp4 (30.0 MB)
• 3. Machine Learning System Approaches.vtt (5.2 KB)
• 3.1 Section3.3_Notes.pdf.pdf (71.0 KB)
• 4. Machine Learning System Component Breakdown.mp4 (29.5 MB)
• 4. Machine Learning System Component Breakdown.vtt (6.1 KB)
• 4.1 Section3.4_Notes.pdf.pdf (78.8 KB)
• 5. Building a Reproducible Machine Learning Pipeline.mp4 (77.1 MB)
• 5. Building a Reproducible Machine Learning Pipeline.vtt (12.7 KB)
• 6. Additional Reading Resources.html (1.0 KB)

• 1. Production Code overview.mp4 (19.2 MB)
• 1. Production Code overview.vtt (3.3 KB)
• 10. Bonus Resources to Improve as a Python Developer.html (1.1 KB)
• 2. Procedural Programming Pipeline.mp4 (86.2 MB)
• 2. Procedural Programming Pipeline.vtt (12.7 KB)
• 2.1 ProceduralPrograming.zip.zip (2.7 KB)
• 3. Designing a Custom Pipeline.mp4 (152.9 MB)
• 3. Designing a Custom Pipeline.vtt (19.8 KB)
• 3.1 CustomPipeline.zip.zip (2.8 KB)
• 4. Leveraging a Third Party Pipeline Scikit-Learn.mp4 (56.7 MB)
• 4. Leveraging a Third Party Pipeline Scikit-Learn.vtt (9.6 KB)
• 5. Third Party Pipeline Create Scikit-Learn compatible Feature Transformers.mp4 (84.3 MB)
• 5. Third Party Pipeline Create Scikit-Learn compatible Feature Transformers.vtt (13.8 KB)
• 5.1 preprocessors.py.py (5.4 KB)
• 6. Third Party Pipeline Closing Remarks.mp4 (10.0 MB)
• 6. Third Party Pipeline Closing Remarks.vtt (2.3 KB)
• 7. Scikit-Learn Pipeline - Code.html (1.9 KB)
• 8. Bonus Should feature selection be part of the pipeline.mp4 (28.8 MB)
• 8. Bonus Should feature selection be part of the pipeline.vtt (6.8 KB)
• 9. Bonus Additional Resources on Scikit-Learn.html (1.4 KB)

• 1. Section 5.1 - Introduction.mp4 (15.9 MB)
• 1. Section 5.1 - Introduction.vtt (2.0 KB)
• 10. Section5.5c - Requirements files Introduction.mp4 (9.5 MB)
• 10. Section5.5c - Requirements files Introduction.vtt (2.2 KB)
• 10.1 Section5.5c_Notes.pdf.pdf (73.8 KB)
• 11. Section5.5d - Virtualenv refresher.mp4 (25.4 MB)
• 11. Section5.5d - Virtualenv refresher.vtt (2.8 KB)
• 11.1 Section5.5_Notes.pdf.pdf (83.8 KB)
• 12. Section 5.6 - Text Editors IDEs.mp4 (12.4 MB)
• 12. Section 5.6 - Text Editors IDEs.vtt (1.6 KB)
• 12.1 Section5.6_Notes.pdf.pdf (84.9 KB)
• 13. Section 5.7 - Engineering and Python Best Practices.mp4 (31.4 MB)
• 13. Section 5.7 - Engineering and Python Best Practices.vtt (6.0 KB)
• 13.1 Section5.7_Notes.pdf.pdf (88.9 KB)
• 14. Section 5.8 - Wrap Up.mp4 (6.0 MB)
• 14. Section 5.8 - Wrap Up.vtt (1.3 KB)
• 2. Section 5.2 - Installing and Configuring Git.mp4 (27.8 MB)
• 2. Section 5.2 - Installing and Configuring Git.vtt (3.2 KB)
• 2.1 Section5.2_Notes.pdf.pdf (96.5 KB)
• 3. Section 5.3 - How to Use the Course Resources, Monorepos + Git Refresher.mp4 (37.8 MB)
• 3. Section 5.3 - How to Use the Course Resources, Monorepos + Git Refresher.vtt (3.2 KB)
• 3.1 Section5.3a_Notes.pdf.pdf (85.5 KB)
• 4. Section5.3b - Opening Pull Requests.mp4 (36.2 MB)
• 4. Section5.3b - Opening Pull Requests.vtt (3.0 KB)
• 4.1 Section5.3b_Notes.pdf.pdf (99.6 KB)
• 5. Section5.3c - Primer on Monorepos.mp4 (18.3 MB)
• 5. Section5.3c - Primer on Monorepos.vtt (2.1 KB)
• 5.1 Section5.3c_Notes.pdf.pdf (53.9 KB)
• 6. Section 5.4a - Operating System Differences and Gotchas.mp4 (8.2 MB)
• 6. Section 5.4a - Operating System Differences and Gotchas.vtt (1.8 KB)
• 6.1 Section5.4_Notes.pdf.pdf (64.5 KB)
• 7. Section 5.4b - System Path and Pythonpath Demo.mp4 (21.8 MB)
• 7. Section 5.4b - System Path and Pythonpath Demo.vtt (2.6 KB)
• 7.1 Section5.4_Notes.pdf.pdf (64.5 KB)
• 8. Section 5.5a - Quick Word for More Advanced Students.mp4 (8.2 MB)
• 8. Section 5.5a - Quick Word for More Advanced Students.vtt (0.8 KB)
• 9. Section5.5b - Virtualenv Introduction.mp4 (79.3 MB)
• 9. Section5.5b - Virtualenv Introduction.vtt (6.9 KB)
• 9.1 Section5.5b_Notes.pdf.pdf (92.2 KB)

• 1. 6.1 - Introduction.mp4 (14.3 MB)
• 1. 6.1 - Introduction.vtt (2.2 KB)
• 10. 6.9 - Wrap Up.mp4 (13.2 MB)
• 10. 6.9 - Wrap Up.vtt (2.3 KB)
• 2. 6.2 - Training the Model.mp4 (46.2 MB)
• 2. 6.2 - Training the Model.vtt (5.3 KB)
• 3. 6.3 - Connecting the Pipeline.mp4 (45.3 MB)
• 3. 6.3 - Connecting the Pipeline.vtt (4.0 KB)
• 3.1 Section6.3_Notes.pdf.pdf (75.4 KB)
• 4. 6.4a - Gotchas.html (1.2 KB)
• 4.1 Section6.4_Notes.pdf.pdf (98.8 KB)
• 5. 6.4 - Making Predictions with the Model.mp4 (44.7 MB)
• 5. 6.4 - Making Predictions with the Model.vtt (4.8 KB)
• 5.1 Section6.4_Notes.pdf.pdf (98.8 KB)
• 6. 6.5 - Data Validation in the Model Package.mp4 (32.5 MB)
• 6. 6.5 - Data Validation in the Model Package.vtt (3.1 KB)
• 6.1 Section6.5_Notes.pdf.pdf (79.3 KB)
• 7. 6.6 - Feature Engineering in the Pipeline.mp4 (26.2 MB)
• 7. 6.6 - Feature Engineering in the Pipeline.vtt (2.5 KB)
• 7.1 Section6.6_Notes.pdf.pdf (78.9 KB)
• 8. 6.7 - Versioning and Logging.mp4 (70.4 MB)
• 8. 6.7 - Versioning and Logging.vtt (7.0 KB)
• 8.1 Section6.7_Notes.pdf.pdf (81.3 KB)
• 9. 6.8 - Building the Package.mp4 (75.9 MB)
• 9. 6.8 - Building the Package.vtt (7.3 KB)
• 9.1 Section6.8_Notes.pdf.pdf (86.0 KB)

• 1. 7.1 - Introduction.mp4 (25.0 MB)
• 1. 7.1 - Introduction.vtt (3.7 KB)
• 1.1 Section7.1_Notes.pdf.pdf (63.4 KB)
• 2. 7.2 - Creating the API Skeleton.mp4 (35.3 MB)
• 2. 7.2 - Creating the API Skeleton.vtt (0.0 KB)
• 2.1 Section7.2_Notes.pdf.pdf (146.3 KB)
• 3. 7.2b - Flask Crash Course.mp4 (17.8 MB)
• 3. 7.2b - Flask Crash Course.vtt (3.1 KB)
• 3.1 Section7.2b_Notes.pdf.pdf (81.6 KB)
• 4. 7.3 - Adding Config and Logging.mp4 (33.0 MB)
• 4. 7.3 - Adding Config and Logging.vtt (3.9 KB)
• 4.1 Section7.3_Notes.pdf.pdf (83.1 KB)
• 5. 7.4 - Adding the Prediction Endpoint.mp4 (38.9 MB)
• 5. 7.4 - Adding the Prediction Endpoint.vtt (4.0 KB)
• 5.1 Section7.4_Notes.pdf.pdf (81.5 KB)
• 6. 7.5 - Adding a Version Endpoint.mp4 (15.4 MB)
• 6. 7.5 - Adding a Version Endpoint.vtt (1.9 KB)
• 6.1 Section7.5_Notes.pdf.pdf (84.3 KB)
• 7. 7.6 - API Schema Validation.mp4 (78.1 MB)
• 7. 7.6 - API Schema Validation.vtt (7.1 KB)
• 7.1 Section7.6_Notes.pdf.pdf (83.7 KB)
• 8. 7.7 - Wrap Up.mp4 (6.3 MB)
• 8. 7.7 - Wrap Up.vtt (1.2 KB)

• 1. 8.1 - Introduction to CICD.mp4 (28.4 MB)
• 1. 8.1 - Introduction to CICD.vtt (4.9 KB)
• 1.1 section8.1.mp4.mp4 (41.9 MB)
• 2. 8.2 - Setting up CircleCI.mp4 (10.6 MB)
• 2. 8.2 - Setting up CircleCI.vtt (1.5 KB)
• 2.1 Section8.2_Notes.pdf.pdf (58.8 KB)
• 3. 8.3 - Setup Circle CI Config.mp4 (50.8 MB)
• 3. 8.3 - Setup Circle CI Config.vtt (6.2 KB)
• 3.1 Section8.3_Notes.pdf.pdf (63.8 KB)
• 4. 8.4 - Publishing the Model to Gemfury.mp4 (69.1 MB)
• 4. 8.4 - Publishing the Model to Gemfury.vtt (7.3 KB)
• 4.1 Section8.4_Notes.pdf.pdf (100.8 KB)
• 5. 8.5 - Testing the CI Pipeline.mp4 (50.1 MB)
• 5. 8.5 - Testing the CI Pipeline.vtt (4.9 KB)
• 5.1 Section8.5_Notes.pdf.pdf (88.8 KB)
• 6. 8.6 - Wrap Up.mp4 (5.3 MB)
• 6. 8.6 - Wrap Up.vtt (1.0 KB)

• 1. 9.1 - Introduction.mp4 (18.6 MB)
• 1. 9.1 - Introduction.vtt (2.6 KB)
• 2. 9.2 - Setting up Differential Tests.mp4 (50.2 MB)
• 2. 9.2 - Setting up Differential Tests.vtt (4.2 KB)
• 2.1 Section9.2_Notes.pdf.pdf (64.9 KB)
• 3. 9.3 - Differential Tests in CI (Part 1 of 2).mp4 (33.6 MB)
• 3. 9.3 - Differential Tests in CI (Part 1 of 2).vtt (3.0 KB)
• 4. 9.4 - Differential Tests in CI (Part 2 of 2).mp4 (32.8 MB)
• 4. 9.4 - Differential Tests in CI (Part 2 of 2).vtt (3.2 KB)
• 4.1 Section9.4_Notes.pdf.pdf (100.6 KB)
• 5. 9.5 Wrap Up.mp4 (12.7 MB)
• 5. 9.5 Wrap Up.vtt (2.0 KB)
• 5.1 Section9.5_Notes.pdf.pdf (69.5 KB)

• [DesireCourse.Com].url (0.0 KB)