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

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

magnet:?xt=urn:btih:378F2FDE48C99A7D0EB5BBC012A5EA0588422D5E&dn=%5BDesireCourse.Net%5D%20Udemy%20-%20Deploy%20Machine%20Learning%20%26%20NLP%20Models%20with%20Dockers%20%28DevOps%29

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Torrent Hash:

378F2FDE48C99A7D0EB5BBC012A5EA0588422D5E

Number of Files:

129

Content Size:

2.15GB

Convert On:

2020-08-25

Keywords:

DesireCourse Net Udemy Deploy Machine Learning NLP Models with Dockers DevOps

Magnet Link:

magnet:?xt=urn:btih:378F2FDE48C99A7D0EB5BBC012A5EA0588422D5E&dn=%5BDesireCourse.Net%5D%20Udemy%20-%20Deploy%20Machine%20Learning%20%26%20NLP%20Models%20with%20Dockers%20%28DevOps%29

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File Name

Size

1. Course Overview/1. Introduction.mp4

10.46MB

1. Course Overview/1. Introduction.vtt

1.08KB

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

940.48KB

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

6.09MB

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

1.27KB

1. Course Overview/3. Skills Checklist.mp4

7.41MB

1. Course Overview/3. Skills Checklist.vtt

1.8KB

1. Course Overview/4. Learning Goals.mp4

4.3MB

1. Course Overview/4. Learning Goals.vtt

708B

1. Course Overview/Must Read.txt

540B

1. Course Overview/Visit Coursedrive.org.url

124B

2. Docker basics/1. Why docker.mp4

20.39MB

2. Docker basics/1. Why docker.vtt

1.71KB

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

833.51KB

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

12.05MB

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

69.97KB

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

226B

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

2.28KB

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

14.79MB

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

3.04KB

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

11.62MB

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

987B

2. Docker basics/5. Summary.mp4

2.05MB

2. Docker basics/5. Summary.vtt

382B

3. Flask basics/1. Introduction.mp4

4.09MB

3. Flask basics/1. Introduction.vtt

625B

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

9.19MB

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

1.47KB

3. Flask basics/2.1 flask1.py.py

428B

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

36.45MB

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

3.36KB

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

33.46MB

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

3.42KB

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

47.95MB

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

5.07KB

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

30.27MB

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

3.02KB

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

3.94MB

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

678B

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

7.58MB

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

1.01KB

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

1008B

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

45.78MB

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

4.25KB

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

33.86MB

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

2.42KB

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

54.26MB

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

4.27KB

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

1.65KB

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

36.61MB

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

3.46KB

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

75.71MB

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

5.69KB

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

85.17MB

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

8.16KB

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

13.49MB

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

1.82KB

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

2.22MB

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

753B

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

14.76MB

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

3.21KB

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

8.89KB

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

21.74MB

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

3.39KB

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

29.55MB

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

3.77KB

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

21.59MB

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

1.68KB

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

45.99MB

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

8.11KB

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

74.79MB

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

7.76KB

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

78.73MB

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

8.14KB

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

26.52MB

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

4.3KB

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

23.62MB

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

4.31KB

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

62.43MB

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

7.42KB

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

11.51KB

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

61.41MB

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

6.89KB

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

86.01MB

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

10.01KB

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

160B

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

18.13MB

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

2.04KB

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

164B

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

90.87MB

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

9.91KB

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

3.61KB

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

95.68MB

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

77.4KB

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

244B

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

8.92KB

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

82.2MB

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

7.02KB

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

108.84MB

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

9.7KB

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

65.5MB

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

5.12KB

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

74.96MB

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

5.53KB

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

76.39MB

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

5.59KB

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

16.46MB

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

1.56KB

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

5.07MB

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

773B

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

68.33MB

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

6.29KB

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

1.99KB

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

89.54MB

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

7.57KB

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

93.14MB

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

10.07KB

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

31.02MB

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

2.93KB

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

34.23MB

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

3.09KB

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

1.04KB

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

78.29MB

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

6.34KB

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

18.42MB

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

2.2KB

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

164B

[CourseClub.Me].url

48B

[DesireCourse.Net].url

51B

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