[DesireCourse.Net] Udemy - Deploy Machine Learning & NLP Models with Dockers (DevOps)

File Name

Size

1. Course Overview/1. Introduction.mp4

10 MB

1. Course Overview/1. Introduction.vtt

1.1 kB

1. Course Overview/1.1 Course Overview.pdf.pdf

940 kB

1. Course Overview/2. I have a model. Now what.mp4

6.1 MB

1. Course Overview/2. I have a model. Now what.vtt

1.3 kB

1. Course Overview/3. Skills Checklist.mp4

7.4 MB

1. Course Overview/3. Skills Checklist.vtt

1.8 kB

1. Course Overview/4. Learning Goals.mp4

4.3 MB

1. Course Overview/4. Learning Goals.vtt

708 B

1. Course Overview/Must Read.txt

540 B

1. Course Overview/Visit Coursedrive.org.url

124 B

2. Docker basics/1. Why docker.mp4

20 MB

2. Docker basics/1. Why docker.vtt

1.7 kB

2. Docker basics/1.1 Docker basics.pdf.pdf

834 kB

2. Docker basics/2. What are docker containers.mp4

12 MB

2. Docker basics/2. What are docker containers.mp4.jpg

70 kB

2. Docker basics/2. What are docker containers.txt

226 B

2. Docker basics/2. What are docker containers.vtt

2.3 kB

2. Docker basics/3. Importance of docker containers in machine learning.mp4

15 MB

2. Docker basics/3. Importance of docker containers in machine learning.vtt

3.0 kB

2. Docker basics/4. Where devops meets data science.mp4

12 MB

2. Docker basics/4. Where devops meets data science.vtt

987 B

2. Docker basics/5. Summary.mp4

2.1 MB

2. Docker basics/5. Summary.vtt

382 B

3. Flask basics/1. Introduction.mp4

4.1 MB

3. Flask basics/1. Introduction.vtt

625 B

3. Flask basics/2. Setting up a Flask Project.mp4

9.2 MB

3. Flask basics/2. Setting up a Flask Project.vtt

1.5 kB

3. Flask basics/2.1 flask1.py.py

428 B

3. Flask basics/3. Simple Flask API to add two numbers.mp4

36 MB

3. Flask basics/3. Simple Flask API to add two numbers.vtt

3.4 kB

3. Flask basics/4. Taking user input with GET requests.mp4

34 MB

3. Flask basics/4. Taking user input with GET requests.vtt

3.4 kB

3. Flask basics/5. POST request with Flask.mp4

48 MB

3. Flask basics/5. POST request with Flask.vtt

5.1 kB

3. Flask basics/6. Using Flask in the context of Machine Learning.mp4

30 MB

3. Flask basics/6. Using Flask in the context of Machine Learning.vtt

3.0 kB

4. Exposing a Random Forest Machine Learning service as an API/1. Introduction.mp4

3.9 MB

4. Exposing a Random Forest Machine Learning service as an API/1. Introduction.vtt

678 B

4. Exposing a Random Forest Machine Learning service as an API/2. API & Dataset Overview.mp4

7.6 MB

4. Exposing a Random Forest Machine Learning service as an API/2. API & Dataset Overview.vtt

1.0 kB

4. Exposing a Random Forest Machine Learning service as an API/2.1 flask_predict_train.py.py

1008 B

4. Exposing a Random Forest Machine Learning service as an API/3. Training the Random Forest model.mp4

46 MB

4. Exposing a Random Forest Machine Learning service as an API/3. Training the Random Forest model.vtt

4.3 kB

4. Exposing a Random Forest Machine Learning service as an API/4. Pickling the Random Forest model.mp4

34 MB

4. Exposing a Random Forest Machine Learning service as an API/4. Pickling the Random Forest model.vtt

2.4 kB

4. Exposing a Random Forest Machine Learning service as an API/5. Exposing the Random Forest model as a Flask API.mp4

54 MB

4. Exposing a Random Forest Machine Learning service as an API/5. Exposing the Random Forest model as a Flask API.vtt

4.3 kB

4. Exposing a Random Forest Machine Learning service as an API/5.1 flask_predict_api.py.py

1.6 kB

4. Exposing a Random Forest Machine Learning service as an API/6. Testing the API model.mp4

37 MB

4. Exposing a Random Forest Machine Learning service as an API/6. Testing the API model.vtt

3.5 kB

4. Exposing a Random Forest Machine Learning service as an API/7. Providing file input to Flask API.mp4

76 MB

4. Exposing a Random Forest Machine Learning service as an API/7. Providing file input to Flask API.vtt

5.7 kB

4. Exposing a Random Forest Machine Learning service as an API/8. Flasgger for autogenerating UI.mp4

85 MB

4. Exposing a Random Forest Machine Learning service as an API/8. Flasgger for autogenerating UI.vtt

8.2 kB

4. Exposing a Random Forest Machine Learning service as an API/9. Summary.mp4

14 MB

4. Exposing a Random Forest Machine Learning service as an API/9. Summary.vtt

1.8 kB

5. Writing and building the Dockerfile/1. Introduction.mp4

2.2 MB

5. Writing and building the Dockerfile/1. Introduction.vtt

753 B

5. Writing and building the Dockerfile/2. Base Image & FROM command.mp4

15 MB

5. Writing and building the Dockerfile/2. Base Image & FROM command.vtt

3.2 kB

5. Writing and building the Dockerfile/2.1 Docker sample.zip.zip

8.9 kB

5. Writing and building the Dockerfile/3. COPY and EXPOSE commands.mp4

22 MB

5. Writing and building the Dockerfile/3. COPY and EXPOSE commands.vtt

3.4 kB

5. Writing and building the Dockerfile/4. WORKDIR, RUN and CMD commands.mp4

30 MB

5. Writing and building the Dockerfile/4. WORKDIR, RUN and CMD commands.vtt

3.8 kB

5. Writing and building the Dockerfile/5. Preparing the flask scripts for dockerizing.mp4

22 MB

5. Writing and building the Dockerfile/5. Preparing the flask scripts for dockerizing.vtt

1.7 kB

5. Writing and building the Dockerfile/6. Writing the Dockerfile.mp4

46 MB

5. Writing and building the Dockerfile/6. Writing the Dockerfile.vtt

8.1 kB

5. Writing and building the Dockerfile/7. Building the docker image.mp4

75 MB

5. Writing and building the Dockerfile/7. Building the docker image.vtt

7.8 kB

5. Writing and building the Dockerfile/8. Running the Random Forest model on Docker.mp4

79 MB

5. Writing and building the Dockerfile/8. Running the Random Forest model on Docker.vtt

8.1 kB

6. Building a production grade Docker application/1. Introduction.mp4

26 MB

6. Building a production grade Docker application/1. Introduction.vtt

4.3 kB

6. Building a production grade Docker application/2. Overall Architecture.mp4

24 MB

6. Building a production grade Docker application/2. Overall Architecture.vtt

4.3 kB

6. Building a production grade Docker application/3. Configuring the WSGI file.mp4

62 MB

6. Building a production grade Docker application/3. Configuring the WSGI file.vtt

7.4 kB

6. Building a production grade Docker application/3.1 Docker deployment.zip.zip

12 kB

6. Building a production grade Docker application/4. Writing a production grade Dockerfile.mp4

61 MB

6. Building a production grade Docker application/4. Writing a production grade Dockerfile.vtt

6.9 kB

6. Building a production grade Docker application/5. Running and debugging a docker container in production.mp4

86 MB

6. Building a production grade Docker application/5. Running and debugging a docker container in production.vtt

10 kB

6. Building a production grade Docker application/6. Docker Quiz 1 – Basic Concepts, Commands.html

160 B

7. Building NLP based Text Clustering application/1. Introduction.mp4

18 MB

7. Building NLP based Text Clustering application/1. Introduction.vtt

2.0 kB

7. Building NLP based Text Clustering application/10. Dockerizing the text clustering app.html

164 B

7. Building NLP based Text Clustering application/2. Stemming & Lemmatization for cleaner text.mp4

91 MB

7. Building NLP based Text Clustering application/2. Stemming & Lemmatization for cleaner text.vtt

9.9 kB

7. Building NLP based Text Clustering application/2.1 text_cluster_api.py.py

3.6 kB

7. Building NLP based Text Clustering application/3. Converting unstructured to structured data.mp4

96 MB

7. Building NLP based Text Clustering application/3. Converting unstructured to structured data.mp4.jpg

77 kB

7. Building NLP based Text Clustering application/3. Converting unstructured to structured data.txt

244 B

7. Building NLP based Text Clustering application/3. Converting unstructured to structured data.vtt

8.9 kB

7. Building NLP based Text Clustering application/4. KMeans Clustering.mp4

82 MB

7. Building NLP based Text Clustering application/4. KMeans Clustering.vtt

7.0 kB

7. Building NLP based Text Clustering application/5. Preparing the excel output.mp4

109 MB

7. Building NLP based Text Clustering application/5. Preparing the excel output.vtt

9.7 kB

7. Building NLP based Text Clustering application/6. Making the output Downloadable.mp4

66 MB

7. Building NLP based Text Clustering application/6. Making the output Downloadable.vtt

5.1 kB

7. Building NLP based Text Clustering application/7. Finding top keywords for kmeans clusters.mp4

75 MB

7. Building NLP based Text Clustering application/7. Finding top keywords for kmeans clusters.vtt

5.5 kB

7. Building NLP based Text Clustering application/8. Final output with charts.mp4

76 MB

7. Building NLP based Text Clustering application/8. Final output with charts.vtt

5.6 kB

7. Building NLP based Text Clustering application/9. Summary.mp4

16 MB

7. Building NLP based Text Clustering application/9. Summary.vtt

1.6 kB

8. API for image recognition with deep learning/1. Introduction.mp4

5.1 MB

8. API for image recognition with deep learning/1. Introduction.vtt

773 B

8. API for image recognition with deep learning/2. Visualizing the input images.mp4

68 MB

8. API for image recognition with deep learning/2. Visualizing the input images.vtt

6.3 kB

8. API for image recognition with deep learning/2.1 img_reco_train.py.py

2.0 kB

8. API for image recognition with deep learning/3. Preparing the input images.mp4

90 MB

8. API for image recognition with deep learning/3. Preparing the input images.vtt

7.6 kB

8. API for image recognition with deep learning/4. Building the deep learning model.mp4

93 MB

8. API for image recognition with deep learning/4. Building the deep learning model.vtt

10 kB

8. API for image recognition with deep learning/5. Training and saving the trained deep learning model.mp4

31 MB

8. API for image recognition with deep learning/5. Training and saving the trained deep learning model.vtt

2.9 kB

8. API for image recognition with deep learning/6. Generating test images.mp4

34 MB

8. API for image recognition with deep learning/6. Generating test images.vtt

3.1 kB

8. API for image recognition with deep learning/6.1 img_reco_test.py.py

1.0 kB

8. API for image recognition with deep learning/7. Flask API wrapper for making predictions.mp4

78 MB

8. API for image recognition with deep learning/7. Flask API wrapper for making predictions.vtt

6.3 kB

8. API for image recognition with deep learning/8. Summary.mp4

18 MB

8. API for image recognition with deep learning/8. Summary.vtt

2.2 kB

8. API for image recognition with deep learning/9. Dockerizing the deep learning app.html

164 B

[CourseClub.Me].url

48 B

[DesireCourse.Net].url

51 B