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[DesireCourse.Net] Udemy - Deploy Machine Learning & NLP Models with Dockers (DevOps)
magnet:?xt=urn:btih:378f2fde48c99a7d0eb5bbc012a5ea0588422d5e&dn=[DesireCourse.Net] Udemy - Deploy Machine Learning & NLP Models with Dockers (DevOps)
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文件列表详情
378f2fde48c99a7d0eb5bbc012a5ea0588422d5e
infohash:
54
文件数量
2.15 GB
文件大小
2021-7-26 00:26
创建日期
2024-5-16 11:26
最后访问
相关分词
DesireCourse
Net
Udemy
-
Deploy
Machine
Learning
&
NLP
Models
with
Dockers
DevOps
1. Course Overview/1. Introduction.mp4 10.46 MB
1. Course Overview/2. I have a model. Now what.mp4 6.09 MB
1. Course Overview/3. Skills Checklist.mp4 7.41 MB
1. Course Overview/4. Learning Goals.mp4 4.3 MB
2. Docker basics/1. Why docker.mp4 20.39 MB
2. Docker basics/2. What are docker containers.mp4 12.05 MB
2. Docker basics/3. Importance of docker containers in machine learning.mp4 14.79 MB
2. Docker basics/4. Where devops meets data science.mp4 11.62 MB
2. Docker basics/5. Summary.mp4 2.05 MB
3. Flask basics/1. Introduction.mp4 4.09 MB
3. Flask basics/2. Setting up a Flask Project.mp4 9.19 MB
3. Flask basics/3. Simple Flask API to add two numbers.mp4 36.45 MB
3. Flask basics/4. Taking user input with GET requests.mp4 33.46 MB
3. Flask basics/5. POST request with Flask.mp4 47.95 MB
3. Flask basics/6. Using Flask in the context of Machine Learning.mp4 30.27 MB
4. Exposing a Random Forest Machine Learning service as an API/1. Introduction.mp4 3.94 MB
4. Exposing a Random Forest Machine Learning service as an API/2. API & Dataset Overview.mp4 7.58 MB
4. Exposing a Random Forest Machine Learning service as an API/3. Training the Random Forest model.mp4 45.78 MB
4. Exposing a Random Forest Machine Learning service as an API/4. Pickling the Random Forest model.mp4 33.86 MB
4. Exposing a Random Forest Machine Learning service as an API/5. Exposing the Random Forest model as a Flask API.mp4 54.26 MB
4. Exposing a Random Forest Machine Learning service as an API/6. Testing the API model.mp4 36.61 MB
4. Exposing a Random Forest Machine Learning service as an API/7. Providing file input to Flask API.mp4 75.71 MB
4. Exposing a Random Forest Machine Learning service as an API/8. Flasgger for autogenerating UI.mp4 85.17 MB
4. Exposing a Random Forest Machine Learning service as an API/9. Summary.mp4 13.49 MB
5. Writing and building the Dockerfile/1. Introduction.mp4 2.22 MB
5. Writing and building the Dockerfile/2. Base Image & FROM command.mp4 14.76 MB
5. Writing and building the Dockerfile/3. COPY and EXPOSE commands.mp4 21.74 MB
5. Writing and building the Dockerfile/4. WORKDIR, RUN and CMD commands.mp4 29.55 MB
5. Writing and building the Dockerfile/5. Preparing the flask scripts for dockerizing.mp4 21.59 MB
5. Writing and building the Dockerfile/6. Writing the Dockerfile.mp4 45.99 MB
5. Writing and building the Dockerfile/7. Building the docker image.mp4 74.79 MB
5. Writing and building the Dockerfile/8. Running the Random Forest model on Docker.mp4 78.73 MB
6. Building a production grade Docker application/1. Introduction.mp4 26.52 MB
6. Building a production grade Docker application/2. Overall Architecture.mp4 23.62 MB
6. Building a production grade Docker application/3. Configuring the WSGI file.mp4 62.43 MB
6. Building a production grade Docker application/4. Writing a production grade Dockerfile.mp4 61.41 MB
6. Building a production grade Docker application/5. Running and debugging a docker container in production.mp4 86.01 MB
7. Building NLP based Text Clustering application/1. Introduction.mp4 18.13 MB
7. Building NLP based Text Clustering application/2. Stemming & Lemmatization for cleaner text.mp4 90.87 MB
7. Building NLP based Text Clustering application/3. Converting unstructured to structured data.mp4 95.68 MB
7. Building NLP based Text Clustering application/4. KMeans Clustering.mp4 82.2 MB
7. Building NLP based Text Clustering application/5. Preparing the excel output.mp4 108.84 MB
7. Building NLP based Text Clustering application/6. Making the output Downloadable.mp4 65.5 MB
7. Building NLP based Text Clustering application/7. Finding top keywords for kmeans clusters.mp4 74.96 MB
7. Building NLP based Text Clustering application/8. Final output with charts.mp4 76.39 MB
7. Building NLP based Text Clustering application/9. Summary.mp4 16.46 MB
8. API for image recognition with deep learning/1. Introduction.mp4 5.07 MB
8. API for image recognition with deep learning/2. Visualizing the input images.mp4 68.33 MB
8. API for image recognition with deep learning/3. Preparing the input images.mp4 89.54 MB
8. API for image recognition with deep learning/4. Building the deep learning model.mp4 93.14 MB
8. API for image recognition with deep learning/5. Training and saving the trained deep learning model.mp4 31.02 MB
8. API for image recognition with deep learning/6. Generating test images.mp4 34.23 MB
8. API for image recognition with deep learning/7. Flask API wrapper for making predictions.mp4 78.29 MB
8. API for image recognition with deep learning/8. Summary.mp4 18.42 MB
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