FTUForum com UDEMY Deployment of Machine Learning Models FTU | 3B823B10B12DF325CF7A086BE6F52A79802FD8C0

FTUForum com UDEMY Deployment of Machine Learning Models FTU

Name	[FTUForum.com] [UDEMY] Deployment of Machine Learning Models [FTU]	DOWNLOAD Copy Link Trouble downloading? see How To
Total Size	3.9 GB
Total Files	304
Hash	3B823B10B12DF325CF7A086BE6F52A79802FD8C0

/10. Deploying to a PaaS (Heroku) without Containers/
1. 10.1 - Introduction.mp4	28.2 MB
1. 10.1 - Introduction.vtt	4.5 KB
1.1 Section10.1_Notes.pdf.pdf	78.5 KB
2. 10.2 - Heroku Account Creation.mp4	21.9 MB
2. 10.2 - Heroku Account Creation.vtt	2.3 KB
2.1 Section10.2_Notes.pdf.pdf	62.9 KB
3. 10.3 - Heroku Config.mp4	33.8 MB
3. 10.3 - Heroku Config.vtt	5.0 KB
3.1 Section10.3_Notes.pdf.pdf	70.6 KB
4. 10.4 - Testing the Deployment Manually.mp4	12.9 MB
4. 10.4 - Testing the Deployment Manually.vtt	1.6 KB
4.1 Section10.4_Notes.pdf.pdf	71.4 KB
5. 10.5 - Deploying to Heroku via CI.mp4	30.5 MB
5. 10.5 - Deploying to Heroku via CI.vtt	3.8 KB
5.1 Section10.5_Notes.pdf.pdf	69.5 KB
6. 10.6 - Wrap Up.mp4	14.2 MB
6. 10.6 - Wrap Up.vtt	2.2 KB
6.1 Section10.6_Notes.pdf.pdf	65.4 KB
/11. Running Apps with Containers (Docker)/
1. 11.1 Introduction to Containers and Docker.mp4	33.0 MB
1. 11.1 Introduction to Containers and Docker.vtt	4.5 KB
1.1 Section11.1_Notes.pdf.pdf	71.9 KB
2. 11.2 Installing Docker.mp4	27.9 MB
2. 11.2 Installing Docker.vtt	2.5 KB
2.1 Section11.2_Notes.pdf.pdf	79.7 KB
3. 11.3 Creating Our API App Dockerfile.mp4	22.6 MB
3. 11.3 Creating Our API App Dockerfile.vtt	2.9 KB
3.1 Section11.3_Notes.pdf.pdf	59.9 KB
4. 11.4 Building and Running the Docker Container.mp4	28.0 MB
4. 11.4 Building and Running the Docker Container.vtt	3.7 KB
4.1 Section11.4_Notes.pdf.pdf	96.3 KB
5. 11.5 Releasing to Heroku with Docker.mp4	49.2 MB
5. 11.5 Releasing to Heroku with Docker.vtt	5.3 KB
5.1 Section11.5_Notes.pdf.pdf	57.9 KB
6. 11.6 - Wrap Up.mp4	8.1 MB
6. 11.6 - Wrap Up.vtt	1.6 KB
6.1 Section11.6_Notes.pdf.pdf	84.4 KB
/12. Deploying to IaaS (AWS ECS)/
10. 12.9 - Uploading Images to the Elastic Container Registry (ECR).mp4	52.2 MB
10. 12.9 - Uploading Images to the Elastic Container Registry (ECR).vtt	4.3 KB
10.1 Section12.9_Notes.pdf.pdf	74.1 KB
11. 12.10 - Creating the ECS Cluster with Fargate Launch Method.mp4	40.0 MB
11. 12.10 - Creating the ECS Cluster with Fargate Launch Method.vtt	3.9 KB
11.1 Section12.10_Notes.pdf.pdf	58.3 KB
1. 12.1 - Introduction to AWS.mp4	19.6 MB
1. 12.1 - Introduction to AWS.vtt	3.3 KB
12. 12.11 - Creating the ECS Cluster with the EC2 Launch Method.mp4	62.8 MB
12. 12.11 - Creating the ECS Cluster with the EC2 Launch Method.vtt	6.5 KB
12.1 Section12.11_Notes.pdf.pdf	58.8 KB
13. 12.12 - Updating the Cluster Containers.mp4	32.5 MB
13. 12.12 - Updating the Cluster Containers.vtt	3.6 KB
13.1 Section12.12_Notes.pdf.pdf	69.1 KB
14. 12.13 - Tearing down the ECS Cluster.mp4	7.3 MB
14. 12.13 - Tearing down the ECS Cluster.vtt	0.7 KB
14.1 Section12.13_Notes.pdf.pdf	61.5 KB
15. 12.14 - Deploying to ECS via the CI pipeline.mp4	24.7 MB
15. 12.14 - Deploying to ECS via the CI pipeline.vtt	2.7 KB
15.1 Section12.14_Notes.pdf.pdf	65.7 KB
16. 12.15 - Wrap Up.mp4	9.4 MB
16. 12.15 - Wrap Up.vtt	1.9 KB
16.1 Section12.15_Notes.pdf.pdf	57.9 KB
2. 12.2 - AWS Costs and Caution.mp4	26.7 MB
2. 12.2 - AWS Costs and Caution.vtt	2.4 KB
2.1 Section12.2_Notes.pdf.pdf	76.5 KB
3. 12.3a - Intro to AWS ECS.mp4	23.9 MB
3. 12.3a - Intro to AWS ECS.vtt	4.6 KB
3.1 Section12.3_Notes.pdf.pdf	56.5 KB
4. 12.3b - Container Orchestration Options Kubernetes, ECS, Docker Swarm.mp4	24.9 MB
4. 12.3b - Container Orchestration Options Kubernetes, ECS, Docker Swarm.vtt	3.7 KB
4.1 Section12.3_Notes.pdf.pdf	56.5 KB
5. 12.4 - Create an AWS Account.mp4	5.1 MB
5. 12.4 - Create an AWS Account.vtt	0.6 KB
5.1 Section12.4_Notes.pdf.pdf	54.8 KB
6. 12.5 - Setting Permissions with IAM.mp4	24.3 MB
6. 12.5 - Setting Permissions with IAM.vtt	3.1 KB
6.1 Section12.5_Notes.pdf.pdf	59.3 KB
7. 12.6 - Installing the AWS CLI.mp4	30.3 MB
7. 12.6 - Installing the AWS CLI.vtt	2.4 KB
7.1 Section12.6_Notes.pdf.pdf	58.3 KB
8. 12.7 - Configuring the AWS CLI.mp4	21.8 MB
8. 12.7 - Configuring the AWS CLI.vtt	2.8 KB
8.1 Section12.7_Notes.pdf.pdf	85.0 KB
9. 12.8 - Intro the Elastic Container Registry (ECR).mp4	9.8 MB
9. 12.8 - Intro the Elastic Container Registry (ECR).vtt	1.2 KB
9.1 Section12.8_Notes.pdf.pdf	56.6 KB
/13. A Deep Learning Model with Big Data/
10. 13.10 - Additional Considerations and Wrap Up.mp4	21.8 MB
10. 13.10 - Additional Considerations and Wrap Up.vtt	3.2 KB
10.1 Section13.10_Notes.pdf.pdf	61.5 KB
1. Challenges of using Big Data in Machine Learning.mp4	16.0 MB
1. Challenges of using Big Data in Machine Learning.vtt	2.5 KB
2. Introduction to a Large Dataset - Plant Seedlings Images.mp4	17.5 MB
2. Introduction to a Large Dataset - Plant Seedlings Images.vtt	2.0 KB
3.1 CNN_Analysis_and Model.zip.zip	1.6 MB
3. Building a CNN in the Research Environment.mp4	93.1 MB
3. Building a CNN in the Research Environment.vtt	10.5 KB
4.1 CNNProdCode.zip.zip	4.8 KB
4. Production Code for a CNN Learning Pipeline.mp4	83.4 MB
4. Production Code for a CNN Learning Pipeline.vtt	9.4 KB
5. Reproducibility in Neural Networks.mp4	17.8 MB
5. Reproducibility in Neural Networks.vtt	3.8 KB
6. Setting the Seed for Keras.html	3.7 KB
7. Seed for Neural Networks - Additional reading resources.html	0.4 KB
8. 13.8 - Packaging the CNN.mp4	75.4 MB
8. 13.8 - Packaging the CNN.vtt	6.3 KB
8.1 Section13.8_Notes.pdf.pdf	73.3 KB
9. 13.9 - Adding the CNN to the API.mp4	43.3 MB
9. 13.9 - Adding the CNN to the API.vtt	4.0 KB
9.1 Section13.9_Notes.pdf.pdf	54.5 KB
/14. Common Issues found during deployment/
1.1 Troubleshooting.pdf.pdf	228.7 KB
1. Troubleshooting.html	0.1 KB
/15. Final Section/
1. Bonus Discount for other courses.html	0.8 KB
/1. Introduction/
1. Introduction to the course.mp4	39.4 MB
1. Introduction to the course.vtt	7.8 KB
2. Course curriculum overview.mp4	50.6 MB
2. Course curriculum overview.vtt	9.5 KB
3. Knowledge requirements.mp4	18.0 MB
3. Knowledge requirements.vtt	4.5 KB
4. How to Approach this course.html	3.4 KB
5. Guide to Setting up your Computer.html	4.0 KB
6.1 DMLM_Slides.zip.zip	14.0 MB
6. Slides covered in this course.html	0.1 KB
7.1 DMLM_Notes.zip.zip	1.6 MB
7. Notes covered in this course.html	0.1 KB
8. FAQ Where can I learn more about the required skills.html	1.0 KB
/2. Machine Learning Pipeline - Research Environment/
10. Getting Ready for Deployment - Demo.mp4	71.1 MB
10. Getting Ready for Deployment - Demo.vtt	9.2 KB
11. Bonus Machine Learning Pipeline Additional Resources.mp4	26.7 MB
11. Bonus Machine Learning Pipeline Additional Resources.vtt	2.6 KB
12. Randomness in Machine Learning - Setting the Seed.html	2.6 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
1. Machine Learning Pipeline Overview.mp4	63.5 MB
1. Machine Learning Pipeline Overview.vtt	9.0 KB
2. Machine Learning Pipeline Feature Engineering.mp4	60.5 MB
2. Machine Learning Pipeline Feature Engineering.vtt	9.5 KB
3. Machine Learning Pipeline Feature Selection.mp4	50.8 MB
3. Machine Learning Pipeline Feature Selection.vtt	11.5 KB
4. Machine Learning Pipeline Model Building.mp4	18.7 MB
4. Machine Learning Pipeline Model Building.vtt	3.6 KB
5.1 MLPipeline-Notebooks.zip.zip	1.2 MB
5. Jupyter notebooks covered in this section.html	0.1 KB
6. Data Analysis - Demo.mp4	142.0 MB
6. Data Analysis - Demo.vtt	21.8 KB
7. Feature Engineering - Demo.mp4	102.9 MB
7. Feature Engineering - Demo.vtt	14.4 KB
8. Feature Selection - Demo.mp4	37.1 MB
8. Feature Selection - Demo.vtt	4.2 KB
9. Model Building - Demo.mp4	35.8 MB
9. Model Building - Demo.vtt	5.3 KB
/3. Machine Learning System Architecture/
1. Machine Learning System Architecture and Why it Matters.mp4	11.4 MB
1. Machine Learning System Architecture and Why it Matters.vtt	2.3 KB
2. Specific Challenges of Machine Learning Systems.mp4	41.0 MB
2. Specific Challenges of Machine Learning Systems.vtt	6.9 KB
3.1 Section3.3_Notes.pdf.pdf	72.7 KB
3. Machine Learning System Approaches.mp4	31.5 MB
3. Machine Learning System Approaches.vtt	5.3 KB
4.1 Section3.4_Notes.pdf.pdf	80.7 KB
4. Machine Learning System Component Breakdown.mp4	30.9 MB
4. Machine Learning System Component Breakdown.vtt	6.2 KB
5. Building a Reproducible Machine Learning Pipeline.mp4	80.8 MB
5. Building a Reproducible Machine Learning Pipeline.vtt	13.0 KB
6. Additional Reading Resources.html	1.1 KB
/4. Building a Reproducible Machine Learning Pipeline/
10. Bonus Resources to Improve as a Python Developer.html	1.1 KB
1. Production Code overview.mp4	20.2 MB
1. Production Code overview.vtt	3.4 KB
2.1 ProceduralPrograming.zip.zip	2.8 KB
2. Procedural Programming Pipeline.mp4	90.4 MB
2. Procedural Programming Pipeline.vtt	13.0 KB
3.1 CustomPipeline.zip.zip	2.8 KB
3. Designing a Custom Pipeline.mp4	160.3 MB
3. Designing a Custom Pipeline.vtt	20.3 KB
4. Leveraging a Third Party Pipeline Scikit-Learn.mp4	59.4 MB
4. Leveraging a Third Party Pipeline Scikit-Learn.vtt	9.8 KB
5.1 preprocessors.py.py	5.7 KB
5. Third Party Pipeline Create Scikit-Learn compatible Feature Transformers.mp4	88.4 MB
5. Third Party Pipeline Create Scikit-Learn compatible Feature Transformers.vtt	14.1 KB
6. Third Party Pipeline Closing Remarks.mp4	10.5 MB
6. Third Party Pipeline Closing Remarks.vtt	2.4 KB
7. Scikit-Learn Pipeline - Code.html	1.9 KB
8. Bonus Should feature selection be part of the pipeline.mp4	30.2 MB
8. Bonus Should feature selection be part of the pipeline.vtt	7.0 KB
9. Bonus Additional Resources on Scikit-Learn.html	1.4 KB
/5. Course Setup and Key Tools/
10.1 Section5.5c_Notes.pdf.pdf	75.5 KB
10. Section5.5c - Requirements files Introduction.mp4	10.0 MB
10. Section5.5c - Requirements files Introduction.vtt	2.3 KB
11.1 Section5.5_Notes.pdf.pdf	85.8 KB
11. Section5.5d - Virtualenv refresher.mp4	26.6 MB
11. Section5.5d - Virtualenv refresher.vtt	2.9 KB
12.1 Section5.6_Notes.pdf.pdf	86.9 KB
12. Section 5.6 - Text Editors IDEs.mp4	13.0 MB
12. Section 5.6 - Text Editors IDEs.vtt	1.6 KB
13.1 Section5.7_Notes.pdf.pdf	91.0 KB
13. Section 5.7 - Engineering and Python Best Practices.mp4	32.9 MB
13. Section 5.7 - Engineering and Python Best Practices.vtt	6.1 KB
14. Section 5.8 - Wrap Up.mp4	6.3 MB
14. Section 5.8 - Wrap Up.vtt	1.3 KB
1. Section 5.1 - Introduction.mp4	16.7 MB
1. Section 5.1 - Introduction.vtt	2.1 KB
2.1 Section5.2_Notes.pdf.pdf	98.8 KB
2. Section 5.2 - Installing and Configuring Git.mp4	29.2 MB
2. Section 5.2 - Installing and Configuring Git.vtt	3.2 KB
3.1 Section5.3a_Notes.pdf.pdf	87.6 KB
3. Section 5.3 - How to Use the Course Resources, Monorepos + Git Refresher.mp4	39.6 MB
3. Section 5.3 - How to Use the Course Resources, Monorepos + Git Refresher.vtt	3.3 KB
4.1 Section5.3b_Notes.pdf.pdf	102.0 KB
4. Section5.3b - Opening Pull Requests.mp4	37.9 MB
4. Section5.3b - Opening Pull Requests.vtt	3.1 KB
5.1 Section5.3c_Notes.pdf.pdf	55.2 KB
5. Section5.3c - Primer on Monorepos.mp4	19.2 MB
5. Section5.3c - Primer on Monorepos.vtt	2.2 KB
6.1 Section5.4_Notes.pdf.pdf	66.0 KB
6. Section 5.4a - Operating System Differences and Gotchas.mp4	8.6 MB
6. Section 5.4a - Operating System Differences and Gotchas.vtt	1.8 KB
7.1 Section5.4_Notes.pdf.pdf	66.0 KB
7. Section 5.4b - System Path and Pythonpath Demo.mp4	22.9 MB
7. Section 5.4b - System Path and Pythonpath Demo.vtt	2.7 KB
8. Section 5.5a - Quick Word for More Advanced Students.mp4	8.6 MB
8. Section 5.5a - Quick Word for More Advanced Students.vtt	0.8 KB
9.1 Section5.5b_Notes.pdf.pdf	94.4 KB
9. Section5.5b - Virtualenv Introduction.mp4	83.2 MB
9. Section5.5b - Virtualenv Introduction.vtt	7.1 KB
/6. Creating a Machine Learning Pipeline Application/
10. 6.9 - Wrap Up.mp4	13.9 MB
10. 6.9 - Wrap Up.vtt	2.4 KB
1. 6.1 - Introduction.mp4	15.0 MB
1. 6.1 - Introduction.vtt	2.3 KB
2. 6.2 - Training the Model.mp4	48.5 MB
2. 6.2 - Training the Model.vtt	5.4 KB
3.1 Section6.3_Notes.pdf.pdf	77.2 KB
3. 6.3 - Connecting the Pipeline.mp4	47.6 MB
3. 6.3 - Connecting the Pipeline.vtt	4.1 KB
4.1 Section6.4_Notes.pdf.pdf	101.1 KB
4. 6.4a - Gotchas.html	1.2 KB
5.1 Section6.4_Notes.pdf.pdf	101.1 KB
5. 6.4 - Making Predictions with the Model.mp4	46.9 MB
5. 6.4 - Making Predictions with the Model.vtt	4.9 KB
6.1 Section6.5_Notes.pdf.pdf	81.2 KB
6. 6.5 - Data Validation in the Model Package.mp4	34.1 MB
6. 6.5 - Data Validation in the Model Package.vtt	3.2 KB
7.1 Section6.6_Notes.pdf.pdf	80.8 KB
7. 6.6 - Feature Engineering in the Pipeline.mp4	27.5 MB
7. 6.6 - Feature Engineering in the Pipeline.vtt	2.6 KB
8.1 Section6.7_Notes.pdf.pdf	83.2 KB
8. 6.7 - Versioning and Logging.mp4	73.9 MB
8. 6.7 - Versioning and Logging.vtt	7.2 KB
9.1 Section6.8_Notes.pdf.pdf	88.0 KB
9. 6.8 - Building the Package.mp4	79.6 MB
9. 6.8 - Building the Package.vtt	7.4 KB
/7. Serving the model via REST API/
1.1 Section7.1_Notes.pdf.pdf	64.9 KB
1. 7.1 - Introduction.mp4	26.3 MB
1. 7.1 - Introduction.vtt	3.8 KB
2.1 Section7.2_Notes.pdf.pdf	149.8 KB
2. 7.2 - Creating the API Skeleton.mp4	37.1 MB
2. 7.2 - Creating the API Skeleton.vtt	0.0 KB
3.1 Section7.2b_Notes.pdf.pdf	83.5 KB
3. 7.2b - Flask Crash Course.mp4	18.7 MB
3. 7.2b - Flask Crash Course.vtt	3.2 KB
4.1 Section7.3_Notes.pdf.pdf	85.1 KB
4. 7.3 - Adding Config and Logging.mp4	34.6 MB
4. 7.3 - Adding Config and Logging.vtt	4.0 KB
5.1 Section7.4_Notes.pdf.pdf	83.5 KB
5. 7.4 - Adding the Prediction Endpoint.mp4	40.8 MB
5. 7.4 - Adding the Prediction Endpoint.vtt	4.1 KB
6.1 Section7.5_Notes.pdf.pdf	86.3 KB
6. 7.5 - Adding a Version Endpoint.mp4	16.2 MB
6. 7.5 - Adding a Version Endpoint.vtt	2.0 KB
7.1 Section7.6_Notes.pdf.pdf	85.7 KB
7. 7.6 - API Schema Validation.mp4	81.9 MB
7. 7.6 - API Schema Validation.vtt	7.3 KB
8. 7.7 - Wrap Up.mp4	6.6 MB
8. 7.7 - Wrap Up.vtt	1.3 KB
/8. Continuous Integration and Deployment Pipelines/
1.1 section8.1.mp4.mp4	43.9 MB
1. 8.1 - Introduction to CICD.mp4	29.8 MB
1. 8.1 - Introduction to CICD.vtt	5.1 KB
2.1 Section8.2_Notes.pdf.pdf	60.2 KB
2. 8.2 - Setting up CircleCI.mp4	11.1 MB
2. 8.2 - Setting up CircleCI.vtt	1.6 KB
3.1 Section8.3_Notes.pdf.pdf	65.4 KB
3. 8.3 - Setup Circle CI Config.mp4	53.3 MB
3. 8.3 - Setup Circle CI Config.vtt	6.4 KB
4.1 Section8.4_Notes.pdf.pdf	103.2 KB
4. 8.4 - Publishing the Model to Gemfury.mp4	72.5 MB
4. 8.4 - Publishing the Model to Gemfury.vtt	7.4 KB
5.1 Section8.5_Notes.pdf.pdf	91.0 KB
5. 8.5 - Testing the CI Pipeline.mp4	52.6 MB
5. 8.5 - Testing the CI Pipeline.vtt	5.0 KB
6. 8.6 - Wrap Up.mp4	5.6 MB
6. 8.6 - Wrap Up.vtt	1.0 KB
/9. Differential Testing/
1. 9.1 - Introduction.mp4	19.5 MB
1. 9.1 - Introduction.vtt	2.7 KB
2.1 Section9.2_Notes.pdf.pdf	66.5 KB
2. 9.2 - Setting up Differential Tests.mp4	52.7 MB
2. 9.2 - Setting up Differential Tests.vtt	4.3 KB
3. 9.3 - Differential Tests in CI (Part 1 of 2).mp4	35.2 MB
3. 9.3 - Differential Tests in CI (Part 1 of 2).vtt	3.1 KB
4.1 Section9.4_Notes.pdf.pdf	103.0 KB
4. 9.4 - Differential Tests in CI (Part 2 of 2).mp4	34.4 MB
4. 9.4 - Differential Tests in CI (Part 2 of 2).vtt	3.3 KB
5.1 Section9.5_Notes.pdf.pdf	71.1 KB
5. 9.5 Wrap Up.mp4	13.3 MB
5. 9.5 Wrap Up.vtt	2.0 KB
/
Discuss.FTUForum.com.html	32.7 KB
FreeCoursesOnline.Me.html	110.9 KB
FTUForum.com.html	102.9 KB
How you can help Team-FTU.txt	0.2 KB
[TGx]Downloaded from torrentgalaxy.org.txt	0.5 KB
Torrent Downloaded From GloDls.to.txt	0.1 KB
Total files 304