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001 Welcome.en.srt
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001 Welcome.mp4
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002 Introduction.mp4
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002 Introduction.en.srt
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003 DO NOT SKIP IT _ Download Working Files.html
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003 Sentiment-Classification-using-BERT.zip
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004 What is BERT.en.srt
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004 What is BERT.mp4
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005 What is ktrain.en.srt
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005 What is ktrain.mp4
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006 Going Deep Inside ktrain Package.en.srt
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006 Going Deep Inside ktrain Package.mp4
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007 Notebook Setup.en.srt
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007 Notebook Setup.mp4
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008 Must Read.html
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009 Installing ktrain.en.srt
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009 Installing ktrain.mp4
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010 Loading Dataset.en.srt
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010 Loading Dataset.mp4
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011 Train-Test Split and Preprocess with BERT.en.srt
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011 Train-Test Split and Preprocess with BERT.mp4
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012 BERT Model Training.en.srt
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012 BERT Model Training.mp4
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013 Testing Fine Tuned BERT Model.mp4
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013 Testing Fine Tuned BERT Model.en.srt
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014 Saving and Loading Fine Tuned Model.en.srt
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014 Saving and Loading Fine Tuned Model.mp4
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015 Resources Folder.html
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015 Fine-Tuning-BERT-for-Disaster-Tweets-Classification.zip
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016 BERT Intro - Disaster Tweets Dataset Understanding.en.srt
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016 BERT Intro - Disaster Tweets Dataset Understanding.mp4
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017 Download Dataset.en.srt
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017 Download Dataset.mp4
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018 Target Class Distribution.mp4
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018 Target Class Distribution.en.srt
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019 Number of Characters Distribution in Tweets.en.srt
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019 Number of Characters Distribution in Tweets.mp4
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020 Number of Words, Average Words Length, and Stop words Distribution in Tweets.en.srt
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020 Number of Words, Average Words Length, and Stop words Distribution in Tweets.mp4
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021 Most and Least Common Words.en.srt
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021 Most and Least Common Words.mp4
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022 One-Shot Data Cleaning.en.srt
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022 One-Shot Data Cleaning.mp4
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023 Disaster Words Visualization with Word Cloud.en.srt
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023 Disaster Words Visualization with Word Cloud.mp4
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024 Classification with TFIDF and SVM.mp4
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024 Classification with TFIDF and SVM.en.srt
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025 Classification with Word2Vec and SVM.en.srt
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025 Classification with Word2Vec and SVM.mp4
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026 Word Embeddings and Classification with Deep Learning Part 1.en.srt
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026 Word Embeddings and Classification with Deep Learning Part 1.mp4
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027 Word Embeddings and Classification with Deep Learning Part 2.en.srt
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027 Word Embeddings and Classification with Deep Learning Part 2.mp4
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028 BERT Model Building and Training.en.srt
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028 BERT Model Building and Training.mp4
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029 BERT Model Evaluation.en.srt
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029 BERT Model Evaluation.mp4
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030 DistilBERT-App.zip
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030 Sentiment-Classification-using-DistilBERT.zip
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030 What is DistilBERT_.mp4
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030 What is DistilBERT_.en.srt
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031 Notebook Setup.en.srt
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031 Notebook Setup.mp4
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032 Data Preparation.mp4
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032 Data Preparation.en.srt
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033 DistilBERT Model Training.en.srt
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033 DistilBERT Model Training.mp4
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034 Save Model at Google Drive.en.srt
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034 Save Model at Google Drive.mp4
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035 Model Evaluation.en.srt
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035 Model Evaluation.mp4
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036 Download Fine Tuned DistilBERT Model.en.srt
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036 Download Fine Tuned DistilBERT Model.mp4
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36
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037 Flask App Preparation.en.srt
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037 Flask App Preparation.mp4
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038 Run Your First Flask Application.en.srt
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038 Run Your First Flask Application.mp4
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039 Predict Sentiment at Your Local Machine.en.srt
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039 Predict Sentiment at Your Local Machine.mp4
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040 Build Predict API.en.srt
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040 Build Predict API.mp4
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40
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041 Deploy DistilBERT Model at Your Local Machine.en.srt
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041 Deploy DistilBERT Model at Your Local Machine.mp4
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042 Create AWS Account.en.srt
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042 Create AWS Account.mp4
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043 Create Free Windows EC2 Instance.en.srt
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043 Create Free Windows EC2 Instance.mp4
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044 Connect EC2 Instance from Windows 10.en.srt
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044 Connect EC2 Instance from Windows 10.mp4
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045 Install Python on EC2 Windows 10.en.srt
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045 Install Python on EC2 Windows 10.mp4
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046 Install TensorFlow 2 and KTRAIN.en.srt
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046 Install TensorFlow 2 and KTRAIN.mp4
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047 Run Your First Flask Application on AWS EC2.en.srt
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047 Run Your First Flask Application on AWS EC2.mp4
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048 Transfer DistilBERT Model to EC2 Flask Server.en.srt
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048 Transfer DistilBERT Model to EC2 Flask Server.mp4
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049 Deploy ML Model on EC2 Server.en.srt
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049 Deploy ML Model on EC2 Server.mp4
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050 Make Your ML Model Accessible to the World.en.srt
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050 Make Your ML Model Accessible to the World.mp4
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051 Install Git Bash and Commander Terminal on Local Computer.en.srt
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051 Install Git Bash and Commander Terminal on Local Computer.mp4
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052 Create AWS Account.en.srt
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052 Create AWS Account.mp4
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053 Launch Ubuntu Machine on EC2.en.srt
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053 Launch Ubuntu Machine on EC2.mp4
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054 Connect AWS Ubuntu (Linux) from Windows Computer.en.srt
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054 Connect AWS Ubuntu (Linux) from Windows Computer.mp4
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055 Install PIP3 on AWS Ubuntu.mp4
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055 Install PIP3 on AWS Ubuntu.en.srt
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056 Update and Upgrade Your Ubuntu Packages.en.srt
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056 Update and Upgrade Your Ubuntu Packages.mp4
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057 Install TensorFlow 2 and KTRAIN.en.srt
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057 Install TensorFlow 2 and KTRAIN.mp4
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058 Create Extra RAM from SSD by Memory Swapping.en.srt
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058 Create Extra RAM from SSD by Memory Swapping.mp4
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059 Deploy DistilBERT ML Model on EC2 Ubuntu Machine.en.srt
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059 Deploy DistilBERT ML Model on EC2 Ubuntu Machine.mp4
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060 NGINX Introduction.en.srt
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060 NGINX Introduction.mp4
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060 NGINX-uWSGI-and-Flask-Installation-Guide-Jupyter-Notebook.zip
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061 Virtual Environment Setup.en.srt
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061 Virtual Environment Setup.mp4
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062 Setting Up Flask Server.en.srt
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062 Setting Up Flask Server.mp4
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063 Setting Up uWSGI Server.en.srt
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063 Setting Up uWSGI Server.mp4
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064 Installing TensorFlow 2 and KTRAIN.mp4
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064 Installing TensorFlow 2 and KTRAIN.en.srt
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065 Configuring uWSGI Server.en.srt
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065 Configuring uWSGI Server.mp4
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066 Start API Services at System Startup.en.srt
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066 Start API Services at System Startup.mp4
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067 Configuring NGINX with uWSGI, and Flask Server.en.srt
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067 Configuring NGINX with uWSGI, and Flask Server.mp4
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068 Congrats! You Have Deployed ML Model in Production.en.srt
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068 Congrats! You Have Deployed ML Model in Production.mp4
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069 NGINX-uWSGI-and-Flask-Installation-Guide-Jupyter-Notebook.zip
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069 What is Multi-Label Classification_.en.srt
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069 FastText-App.zip
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069 FastText-Multi-Label-Text-Classification.zip
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069 What is Multi-Label Classification_.mp4
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070 FastText Research Paper Review.en.srt
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070 FastText Research Paper Review.mp4
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071 Notebook Setup.mp4
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071 Notebook Setup.en.srt
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072 Data Preparation.en.srt
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072 Data Preparation.mp4
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073 FastText Model Training.en.srt
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073 FastText Model Training.mp4
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074 FastText Model Evaluation and Saving at Google Drive.en.srt
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074 FastText Model Evaluation and Saving at Google Drive.mp4
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075 Creating Fresh Ubuntu Machine.en.srt
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075 Creating Fresh Ubuntu Machine.mp4
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076 Setting Python3 and PIP3 Alias.en.srt
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076 Setting Python3 and PIP3 Alias.mp4
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077 Creating 4GB Extra RAM by Memory Swapping.en.srt
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077 Creating 4GB Extra RAM by Memory Swapping.mp4
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078 Making Your Server Ready.en.srt
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078 Making Your Server Ready.mp4
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079 Preparing Prediction APIs.en.srt
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079 Preparing Prediction APIs.mp4
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80.8 MB
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080 Testing Prediction API at Local Machine.en.srt
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SRT
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9.6 KB
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080 Testing Prediction API at Local Machine.mp4
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MP4
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40.2 MB
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081 Testing Prediction API at AWS Ubuntu Machine.en.srt
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SRT
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13.5 KB
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081 Testing Prediction API at AWS Ubuntu Machine.mp4
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MP4
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77.5 MB
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082 Configuring uWSGI Server.en.srt
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SRT
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9.6 KB
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082 Configuring uWSGI Server.mp4
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MP4
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58.3 MB
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083 Deploy FastText Model in Production with NGINX, uWSGI, and Flask.en.srt
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SRT
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11.6 KB
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083 Deploy FastText Model in Production with NGINX, uWSGI, and Flask.mp4
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MP4
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58.6 MB
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TutsNode.com.txt
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TXT
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102 B
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[TGx]Downloaded from torrentgalaxy.to .txt
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TXT
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614 B
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80
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776.8 KB
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81
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110 KB
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