Deploy a Production Machine Learning model with AWS & React

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Deploy a Production Machine Learning model with AWS & React
Language: English | Size:2.41 GB
Genre:eLearning

Files Included :
001 Course overview.mp4 (16.16 MB)
MP4
002 What we're going to build.mp4 (28.71 MB)
MP4
003 Introduction.mp4 (6.44 MB)
MP4
001 Setting Up IAM Policies.mp4 (79.98 MB)
MP4
002 Setting Up SageMaker.mp4 (45.63 MB)
MP4
003 Launching our SageMaker notebook.mp4 (21.61 MB)
MP4
001 Cost optimazation and other Tips.mp4 (41.43 MB)
MP4
001 Get data from Kaggle Part 1.mp4 (65.18 MB)
MP4
002 Get Data from Kaggle Part 2.mp4 (3.31 MB)
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003 Important.mp4 (4.98 MB)
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004 Visualizing images.mp4 (41.26 MB)
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005 Correction.mp4 (4.49 MB)
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006 Resizing images(Theory).mp4 (17.44 MB)
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007 Computer Vision Part 1.mp4 (13.22 MB)
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008 Computer Vision Part 2.mp4 (130.1 MB)
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009 Resizing our images(Coding).mp4 (44.7 MB)
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010 Check the resized images.mp4 (57.23 MB)
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011 Data Visualization.mp4 (14.1 MB)
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012 Creating our DataFrame for Visualization.mp4 (53.95 MB)
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013 Creating our Bar Graphs.mp4 (7.37 MB)
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014 Making our Graphs nicer.mp4 (15.53 MB)
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001 What are lst Files.mp4 (54.75 MB)
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002 Creating Pandas DataFrame for lst files.mp4 (36.87 MB)
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003 Creating our lst files.mp4 (17.02 MB)
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004 Upload images and lst files to S3.mp4 (48 MB)
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005 Correction and Verify Upload.mp4 (9.52 MB)
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006 Setting up our Estimator object for training.mp4 (35.04 MB)
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008 Setting up Hyperparameter Tuning.mp4 (27.54 MB)
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009 Setting up Hyperparameters ranges.mp4 (26.39 MB)
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010 Correction.mp4 (8.7 MB)
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011 Setting up our Training Job.mp4 (53.5 MB)
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012 Starting our Training Job.mp4 (11.46 MB)
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001 Evaluating our Training Job.mp4 (128.29 MB)
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002 Deploying our model locally.mp4 (46.5 MB)
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003 Getting our First Inference.mp4 (40.81 MB)
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004 Constructing our confusion matrix.mp4 (82.18 MB)
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005 Recall, Precision, F1 Score.mp4 (30.58 MB)
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006 Shutting down our Endpoint.mp4 (6.91 MB)
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001 Creating IAM Policy for our lambda function.mp4 (45.16 MB)
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002 Coding our Lambda function.mp4 (80.52 MB)
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003 Creating Our API Gateway.mp4 (39.68 MB)
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004 Adding Endpoint name to Lambda.mp4 (5.65 MB)
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005 Image shape for Inference.mp4 (4.57 MB)
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006 Testing Our Endpoint with Postman.mp4 (31.53 MB)
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007 Setting up Lambda Concurrency.mp4 (12.93 MB)
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002 Setting up our MongoDB database.mp4 (25.46 MB)
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003 Downloading source code from Github.mp4 (18.92 MB)
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004 Launching our web application locally.mp4 (82.61 MB)
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005 Set Axios URL to our Endpoint.mp4 (5.08 MB)
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006 MERN app walkthrough Part 1.mp4 (184.7 MB)
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007 Start your Endpoint.mp4 (8.58 MB)
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008 MERN app walkthrough Part 2.mp4 (79.39 MB)
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001 AutoScaling for our Endpoint Part 1.mp4 (28.04 MB)
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002 AutoScaling for our Endpoint Part 2.mp4 (51.25 MB)
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003 Securing our Endpoint Part 1.mp4 (33.92 MB)
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004 Securing our Endpoint Part 2.mp4 (4.77 MB)
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001 Creating our DigitalOcean account.mp4 (6.56 MB)
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002 Setting Up our DigitalOcean server.mp4 (11.24 MB)
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003 SSH-ing into our DigitalOcean droplet.mp4 (27.45 MB)
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004 Installing Node js and NPM to our droplet.mp4 (58.31 MB)
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005 Creating our Frontend and Backend repositories.mp4 (20.73 MB)
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006 Clone Repos from Github and Install Nginx.mp4 (73.56 MB)
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007 Create env Files and Setting up MongoDB.mp4 (41.27 MB)
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008 Starting our Backend.mp4 (29.83 MB)
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009 Running our Frontend.mp4 (11.31 MB)
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010 Changing IP addresses.mp4 (16.91 MB)
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011 Testing on random images from the Internet.mp4 (31.41 MB)
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001 Delete Amazon SageMaker Endpoint.mp4 (5.91 MB)
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002 Clean Up and Next Steps.mp4 (14.25 MB)
MP4

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Deploy a Production Machine Learning model with AWS & React.zip

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