[TutsNode.com] - Deployment of Machine Learning Models in Production Python

  03 DistilBERT _ Faster and Cheaper BERT model from Hugging Face

   041 Deploy DistilBERT Model at Your Local Machine.en.srt

   040 Build Predict API.en.srt

   030 What is DistilBERT_.en.srt

   038 Run Your First Flask Application.en.srt

   039 Predict Sentiment at Your Local Machine.en.srt

   034 Save Model at Google Drive.en.srt

   035 Model Evaluation.en.srt

   041 Deploy DistilBERT Model at Your Local Machine.mp4

   032 Data Preparation.mp4

   038 Run Your First Flask Application.mp4

   034 Save Model at Google Drive.mp4

   035 Model Evaluation.mp4

   036 Download Fine Tuned DistilBERT Model.mp4

  01 BERT _ Sentiment Prediction _ Multi Class Prediction Problem

   003 DO NOT SKIP IT _ Download Working Files.html

   008 Must Read.html

   014 Saving and Loading Fine Tuned Model.en.srt

   013 Testing Fine Tuned BERT Model.en.srt

   009 Installing ktrain.en.srt

   010 Loading Dataset.en.srt

   002 Introduction.en.srt

   012 BERT Model Training.mp4

   004 What is BERT.mp4

   002 Introduction.mp4

   006 Going Deep Inside ktrain Package.mp4

   014 Saving and Loading Fine Tuned Model.mp4

   010 Loading Dataset.mp4

  07 Multi-Label Classification _ Deploy Facebook's FastText NLP Model in Production

   070 FastText Research Paper Review.en.srt

   072 Data Preparation.en.srt

   081 Testing Prediction API at AWS Ubuntu Machine.en.srt

   083 Deploy FastText Model in Production with NGINX, uWSGI, and Flask.en.srt

   071 Notebook Setup.en.srt

   073 FastText Model Training.en.srt

   080 Testing Prediction API at Local Machine.en.srt

   074 FastText Model Evaluation and Saving at Google Drive.en.srt

   069 FastText-Multi-Label-Text-Classification.zip

   081 Testing Prediction API at AWS Ubuntu Machine.mp4

   072 Data Preparation.mp4

   083 Deploy FastText Model in Production with NGINX, uWSGI, and Flask.mp4

   076 Setting Python3 and PIP3 Alias.mp4

   080 Testing Prediction API at Local Machine.mp4

   077 Creating 4GB Extra RAM by Memory Swapping.mp4

   074 FastText Model Evaluation and Saving at Google Drive.mp4

  06 Deploy Robust and Secure Production Server with NGINX, uWSGI, and Flask

   068 Congrats! You Have Deployed ML Model in Production.en.srt

   063 Setting Up uWSGI Server.en.srt

   061 Virtual Environment Setup.en.srt

   064 Installing TensorFlow 2 and KTRAIN.en.srt

   065 Configuring uWSGI Server.en.srt

   067 Configuring NGINX with uWSGI, and Flask Server.mp4

   066 Start API Services at System Startup.mp4

   064 Installing TensorFlow 2 and KTRAIN.mp4

   060 NGINX Introduction.mp4

  04 Deploy Your DistilBERT ML Model at AWS EC2 Windows Machine with Flask

   049 Deploy ML Model on EC2 Server.en.srt

   047 Run Your First Flask Application on AWS EC2.en.srt

   044 Connect EC2 Instance from Windows 10.en.srt

   048 Transfer DistilBERT Model to EC2 Flask Server.en.srt

   049 Deploy ML Model on EC2 Server.mp4

   046 Install TensorFlow 2 and KTRAIN.mp4

   043 Create Free Windows EC2 Instance.mp4

   047 Run Your First Flask Application on AWS EC2.mp4

   045 Install Python on EC2 Windows 10.mp4

  05 Deploy Your DistilBERT ML Model at AWS Ubuntu (Linux) Machine with Flask

   058 Create Extra RAM from SSD by Memory Swapping.en.srt

   051 Install Git Bash and Commander Terminal on Local Computer.en.srt

   054 Connect AWS Ubuntu (Linux) from Windows Computer.en.srt

   053 Launch Ubuntu Machine on EC2.en.srt

   057 Install TensorFlow 2 and KTRAIN.mp4

   055 Install PIP3 on AWS Ubuntu.mp4

   051 Install Git Bash and Commander Terminal on Local Computer.mp4

   054 Connect AWS Ubuntu (Linux) from Windows Computer.mp4

   056 Update and Upgrade Your Ubuntu Packages.mp4

  02 Fine Tuning BERT for Disaster Tweets Classification

   016 BERT Intro - Disaster Tweets Dataset Understanding.en.srt

   015 Resources Folder.html

   026 Word Embeddings and Classification with Deep Learning Part 1.en.srt

   028 BERT Model Building and Training.en.srt

   021 Most and Least Common Words.en.srt

   020 Number of Words, Average Words Length, and Stop words Distribution in Tweets.en.srt

   023 Disaster Words Visualization with Word Cloud.en.srt

   016 BERT Intro - Disaster Tweets Dataset Understanding.mp4

   027 Word Embeddings and Classification with Deep Learning Part 2.mp4

   028 BERT Model Building and Training.mp4

   026 Word Embeddings and Classification with Deep Learning Part 1.mp4

   021 Most and Least Common Words.mp4

   020 Number of Words, Average Words Length, and Stop words Distribution in Tweets.mp4

   018 Target Class Distribution.mp4

   015 Fine-Tuning-BERT-for-Disaster-Tweets-Classification.zip

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