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![[Tutorialsplanet.NET] Udemy - Deployment of Machine Learning Models in Production Python的二维码](/qrcode?data=magnet%3A%3Fxt%3Durn%3Abtih%3A20B753945E6A9C667CEECDA89B3203C4D16545F7)
文档列表
03 DistilBERT _ Faster and Cheaper BERT model from Hugging Face/030 DistilBERT-App.zip 246.7 MB
07 Multi-Label Classification _ Deploy Facebook's FastText NLP Model in Production/070 FastText Research Paper Review.mp4 167.8 MB- 02 Fine Tuning BERT for Disaster Tweets Classification/016 BERT Intro - Disaster Tweets Dataset Understanding.mp4 115.1 MB
- 06 Deploy Robust and Secure Production Server with NGINX, uWSGI, and Flask/063 Setting Up uWSGI Server.mp4 106.7 MB
- 05 Deploy Your DistilBERT ML Model at AWS Ubuntu (Linux) Machine with Flask/057 Install TensorFlow 2 and KTRAIN.mp4 98.1 MB
- 06 Deploy Robust and Secure Production Server with NGINX, uWSGI, and Flask/067 Configuring NGINX with uWSGI, and Flask Server.mp4 96.2 MB
- 06 Deploy Robust and Secure Production Server with NGINX, uWSGI, and Flask/068 Congrats! You Have Deployed ML Model in Production.mp4 89.0 MB
- 05 Deploy Your DistilBERT ML Model at AWS Ubuntu (Linux) Machine with Flask/058 Create Extra RAM from SSD by Memory Swapping.mp4 87.8 MB
- 02 Fine Tuning BERT for Disaster Tweets Classification/019 Number of Characters Distribution in Tweets.mp4 87.6 MB
- 07 Multi-Label Classification _ Deploy Facebook's FastText NLP Model in Production/079 Preparing Prediction APIs.mp4 84.7 MB
- 07 Multi-Label Classification _ Deploy Facebook's FastText NLP Model in Production/081 Testing Prediction API at AWS Ubuntu Machine.mp4 81.2 MB
- 07 Multi-Label Classification _ Deploy Facebook's FastText NLP Model in Production/078 Making Your Server Ready.mp4 80.2 MB
- 03 DistilBERT _ Faster and Cheaper BERT model from Hugging Face/030 What is DistilBERT_.mp4 77.7 MB
- 02 Fine Tuning BERT for Disaster Tweets Classification/027 Word Embeddings and Classification with Deep Learning Part 2.mp4 77.1 MB
- 04 Deploy Your DistilBERT ML Model at AWS EC2 Windows Machine with Flask/049 Deploy ML Model on EC2 Server.mp4 74.4 MB
- 03 DistilBERT _ Faster and Cheaper BERT model from Hugging Face/041 Deploy DistilBERT Model at Your Local Machine.mp4 72.8 MB
- 07 Multi-Label Classification _ Deploy Facebook's FastText NLP Model in Production/072 Data Preparation.mp4 70.7 MB
- 04 Deploy Your DistilBERT ML Model at AWS EC2 Windows Machine with Flask/050 Make Your ML Model Accessible to the World.mp4 70.1 MB
- 04 Deploy Your DistilBERT ML Model at AWS EC2 Windows Machine with Flask/046 Install TensorFlow 2 and KTRAIN.mp4 69.8 MB
- 07 Multi-Label Classification _ Deploy Facebook's FastText NLP Model in Production/075 Creating Fresh Ubuntu Machine.mp4 62.2 MB
- 02 Fine Tuning BERT for Disaster Tweets Classification/029 BERT Model Evaluation.mp4 61.3 MB
- 07 Multi-Label Classification _ Deploy Facebook's FastText NLP Model in Production/082 Configuring uWSGI Server.mp4 61.1 MB
- 06 Deploy Robust and Secure Production Server with NGINX, uWSGI, and Flask/066 Start API Services at System Startup.mp4 61.0 MB
- 06 Deploy Robust and Secure Production Server with NGINX, uWSGI, and Flask/061 Virtual Environment Setup.mp4 60.5 MB
- 01 BERT _ Sentiment Prediction _ Multi Class Prediction Problem/012 BERT Model Training.mp4 59.6 MB
- 03 DistilBERT _ Faster and Cheaper BERT model from Hugging Face/040 Build Predict API.mp4 58.9 MB
- 06 Deploy Robust and Secure Production Server with NGINX, uWSGI, and Flask/064 Installing TensorFlow 2 and KTRAIN.mp4 58.8 MB
- 02 Fine Tuning BERT for Disaster Tweets Classification/028 BERT Model Building and Training.mp4 57.8 MB
- 03 DistilBERT _ Faster and Cheaper BERT model from Hugging Face/032 Data Preparation.mp4 57.3 MB
- 02 Fine Tuning BERT for Disaster Tweets Classification/025 Classification with Word2Vec and SVM.mp4 55.5 MB
- 02 Fine Tuning BERT for Disaster Tweets Classification/026 Word Embeddings and Classification with Deep Learning Part 1.mp4 55.4 MB
- 04 Deploy Your DistilBERT ML Model at AWS EC2 Windows Machine with Flask/044 Connect EC2 Instance from Windows 10.mp4 55.0 MB
- 01 BERT _ Sentiment Prediction _ Multi Class Prediction Problem/011 Train-Test Split and Preprocess with BERT.mp4 53.9 MB
- 06 Deploy Robust and Secure Production Server with NGINX, uWSGI, and Flask/062 Setting Up Flask Server.mp4 53.2 MB
- 07 Multi-Label Classification _ Deploy Facebook's FastText NLP Model in Production/076 Setting Python3 and PIP3 Alias.mp4 51.7 MB
- 04 Deploy Your DistilBERT ML Model at AWS EC2 Windows Machine with Flask/043 Create Free Windows EC2 Instance.mp4 50.0 MB
- 07 Multi-Label Classification _ Deploy Facebook's FastText NLP Model in Production/071 Notebook Setup.mp4 48.0 MB
- 01 BERT _ Sentiment Prediction _ Multi Class Prediction Problem/004 What is BERT.mp4 47.5 MB
- 05 Deploy Your DistilBERT ML Model at AWS Ubuntu (Linux) Machine with Flask/055 Install PIP3 on AWS Ubuntu.mp4 46.8 MB
- 05 Deploy Your DistilBERT ML Model at AWS Ubuntu (Linux) Machine with Flask/059 Deploy DistilBERT ML Model on EC2 Ubuntu Machine.mp4 46.3 MB
- 02 Fine Tuning BERT for Disaster Tweets Classification/024 Classification with TFIDF and SVM.mp4 46.3 MB
- 02 Fine Tuning BERT for Disaster Tweets Classification/021 Most and Least Common Words.mp4 45.5 MB
- 01 BERT _ Sentiment Prediction _ Multi Class Prediction Problem/001 Welcome.mp4 44.7 MB
- 02 Fine Tuning BERT for Disaster Tweets Classification/023 Disaster Words Visualization with Word Cloud.mp4 44.2 MB
- 03 DistilBERT _ Faster and Cheaper BERT model from Hugging Face/033 DistilBERT Model Training.mp4 43.6 MB
- 02 Fine Tuning BERT for Disaster Tweets Classification/020 Number of Words, Average Words Length, and Stop words Distribution in Tweets.mp4 43.0 MB
- 07 Multi-Label Classification _ Deploy Facebook's FastText NLP Model in Production/080 Testing Prediction API at Local Machine.mp4 42.2 MB
- 07 Multi-Label Classification _ Deploy Facebook's FastText NLP Model in Production/073 FastText Model Training.mp4 40.5 MB
- 07 Multi-Label Classification _ Deploy Facebook's FastText NLP Model in Production/077 Creating 4GB Extra RAM by Memory Swapping.mp4 38.8 MB
- 05 Deploy Your DistilBERT ML Model at AWS Ubuntu (Linux) Machine with Flask/052 Create AWS Account.mp4 38.4 MB
- 04 Deploy Your DistilBERT ML Model at AWS EC2 Windows Machine with Flask/042 Create AWS Account.mp4 38.4 MB
- 06 Deploy Robust and Secure Production Server with NGINX, uWSGI, and Flask/060 NGINX Introduction.mp4 38.4 MB
- 01 BERT _ Sentiment Prediction _ Multi Class Prediction Problem/002 Introduction.mp4 37.5 MB
- 06 Deploy Robust and Secure Production Server with NGINX, uWSGI, and Flask/065 Configuring uWSGI Server.mp4 34.5 MB
- 01 BERT _ Sentiment Prediction _ Multi Class Prediction Problem/005 What is ktrain.mp4 34.4 MB
- 07 Multi-Label Classification _ Deploy Facebook's FastText NLP Model in Production/069 What is Multi-Label Classification_.mp4 34.3 MB
- 05 Deploy Your DistilBERT ML Model at AWS Ubuntu (Linux) Machine with Flask/054 Connect AWS Ubuntu (Linux) from Windows Computer.mp4 34.1 MB
- 03 DistilBERT _ Faster and Cheaper BERT model from Hugging Face/038 Run Your First Flask Application.mp4 34.0 MB
- 02 Fine Tuning BERT for Disaster Tweets Classification/022 One-Shot Data Cleaning.mp4 33.6 MB
- 02 Fine Tuning BERT for Disaster Tweets Classification/018 Target Class Distribution.mp4 33.0 MB
- 05 Deploy Your DistilBERT ML Model at AWS Ubuntu (Linux) Machine with Flask/053 Launch Ubuntu Machine on EC2.mp4 32.9 MB
- 01 BERT _ Sentiment Prediction _ Multi Class Prediction Problem/006 Going Deep Inside ktrain Package.mp4 32.8 MB
- 01 BERT _ Sentiment Prediction _ Multi Class Prediction Problem/009 Installing ktrain.mp4 31.4 MB
- 02 Fine Tuning BERT for Disaster Tweets Classification/017 Download Dataset.mp4 31.2 MB
- 04 Deploy Your DistilBERT ML Model at AWS EC2 Windows Machine with Flask/047 Run Your First Flask Application on AWS EC2.mp4 30.5 MB
- 01 BERT _ Sentiment Prediction _ Multi Class Prediction Problem/014 Saving and Loading Fine Tuned Model.mp4 26.7 MB
- 04 Deploy Your DistilBERT ML Model at AWS EC2 Windows Machine with Flask/048 Transfer DistilBERT Model to EC2 Flask Server.mp4 25.6 MB
- 03 DistilBERT _ Faster and Cheaper BERT model from Hugging Face/031 Notebook Setup.mp4 25.6 MB
- 03 DistilBERT _ Faster and Cheaper BERT model from Hugging Face/034 Save Model at Google Drive.mp4 23.9 MB
- 03 DistilBERT _ Faster and Cheaper BERT model from Hugging Face/039 Predict Sentiment at Your Local Machine.mp4 22.9 MB
- 01 BERT _ Sentiment Prediction _ Multi Class Prediction Problem/013 Testing Fine Tuned BERT Model.mp4 22.1 MB
- 01 BERT _ Sentiment Prediction _ Multi Class Prediction Problem/010 Loading Dataset.mp4 21.2 MB
- 05 Deploy Your DistilBERT ML Model at AWS Ubuntu (Linux) Machine with Flask/056 Update and Upgrade Your Ubuntu Packages.mp4 20.8 MB
- 07 Multi-Label Classification _ Deploy Facebook's FastText NLP Model in Production/069 FastText-App.zip 19.4 MB
- 04 Deploy Your DistilBERT ML Model at AWS EC2 Windows Machine with Flask/045 Install Python on EC2 Windows 10.mp4 16.5 MB
- 03 DistilBERT _ Faster and Cheaper BERT model from Hugging Face/035 Model Evaluation.mp4 15.6 MB
- 01 BERT _ Sentiment Prediction _ Multi Class Prediction Problem/007 Notebook Setup.mp4 7.5 MB
- 03 DistilBERT _ Faster and Cheaper BERT model from Hugging Face/037 Flask App Preparation.mp4 6.5 MB
- 03 DistilBERT _ Faster and Cheaper BERT model from Hugging Face/036 Download Fine Tuned DistilBERT Model.mp4 5.1 MB
- 02 Fine Tuning BERT for Disaster Tweets Classification/015 Fine-Tuning-BERT-for-Disaster-Tweets-Classification.zip 2.7 MB
- 01 BERT _ Sentiment Prediction _ Multi Class Prediction Problem/003 Sentiment-Classification-using-BERT.zip 334.7 kB
- 06 Deploy Robust and Secure Production Server with NGINX, uWSGI, and Flask/060 NGINX-uWSGI-and-Flask-Installation-Guide-Jupyter-Notebook.zip 88.7 kB
06 Deploy Robust and Secure Production Server with NGINX, uWSGI, and Flask/068 Congrats! You Have Deployed ML Model in Production.en.srt 25.1 kB- 07 Multi-Label Classification _ Deploy Facebook's FastText NLP Model in Production/070 FastText Research Paper Review.en.srt 21.0 kB
- 03 DistilBERT _ Faster and Cheaper BERT model from Hugging Face/041 Deploy DistilBERT Model at Your Local Machine.en.srt 20.6 kB
- 07 Multi-Label Classification _ Deploy Facebook's FastText NLP Model in Production/079 Preparing Prediction APIs.en.srt 20.4 kB
- 04 Deploy Your DistilBERT ML Model at AWS EC2 Windows Machine with Flask/050 Make Your ML Model Accessible to the World.en.srt 18.2 kB
- 04 Deploy Your DistilBERT ML Model at AWS EC2 Windows Machine with Flask/049 Deploy ML Model on EC2 Server.en.srt 18.1 kB
- 07 Multi-Label Classification _ Deploy Facebook's FastText NLP Model in Production/072 Data Preparation.en.srt 17.7 kB
- 05 Deploy Your DistilBERT ML Model at AWS Ubuntu (Linux) Machine with Flask/057 Install TensorFlow 2 and KTRAIN.en.srt 16.9 kB
- 01 BERT _ Sentiment Prediction _ Multi Class Prediction Problem/012 BERT Model Training.en.srt 15.4 kB
- 04 Deploy Your DistilBERT ML Model at AWS EC2 Windows Machine with Flask/046 Install TensorFlow 2 and KTRAIN.en.srt 15.1 kB
- 02 Fine Tuning BERT for Disaster Tweets Classification/019 Number of Characters Distribution in Tweets.en.srt 14.9 kB
- 02 Fine Tuning BERT for Disaster Tweets Classification/016 BERT Intro - Disaster Tweets Dataset Understanding.en.srt 14.5 kB
- 02 Fine Tuning BERT for Disaster Tweets Classification/027 Word Embeddings and Classification with Deep Learning Part 2.en.srt 14.5 kB
- 05 Deploy Your DistilBERT ML Model at AWS Ubuntu (Linux) Machine with Flask/058 Create Extra RAM from SSD by Memory Swapping.en.srt 14.1 kB
- 05 Deploy Your DistilBERT ML Model at AWS Ubuntu (Linux) Machine with Flask/059 Deploy DistilBERT ML Model on EC2 Ubuntu Machine.en.srt 14.0 kB
- 03 DistilBERT _ Faster and Cheaper BERT model from Hugging Face/040 Build Predict API.en.srt 13.9 kB
- 07 Multi-Label Classification _ Deploy Facebook's FastText NLP Model in Production/081 Testing Prediction API at AWS Ubuntu Machine.en.srt 13.9 kB
- 06 Deploy Robust and Secure Production Server with NGINX, uWSGI, and Flask/067 Configuring NGINX with uWSGI, and Flask Server.en.srt 13.9 kB
- 02 Fine Tuning BERT for Disaster Tweets Classification/029 BERT Model Evaluation.en.srt 13.4 kB
- 07 Multi-Label Classification _ Deploy Facebook's FastText NLP Model in Production/075 Creating Fresh Ubuntu Machine.en.srt 13.3 kB
- 03 DistilBERT _ Faster and Cheaper BERT model from Hugging Face/032 Data Preparation.en.srt 13.0 kB
- 03 DistilBERT _ Faster and Cheaper BERT model from Hugging Face/030 What is DistilBERT_.en.srt 12.8 kB
- 06 Deploy Robust and Secure Production Server with NGINX, uWSGI, and Flask/063 Setting Up uWSGI Server.en.srt 12.8 kB
- 01 BERT _ Sentiment Prediction _ Multi Class Prediction Problem/011 Train-Test Split and Preprocess with BERT.en.srt 12.2 kB
- 03 DistilBERT _ Faster and Cheaper BERT model from Hugging Face/033 DistilBERT Model Training.en.srt 11.9 kB
- 07 Multi-Label Classification _ Deploy Facebook's FastText NLP Model in Production/069 What is Multi-Label Classification_.en.srt 11.8 kB
- 02 Fine Tuning BERT for Disaster Tweets Classification/026 Word Embeddings and Classification with Deep Learning Part 1.en.srt 11.6 kB
- 02 Fine Tuning BERT for Disaster Tweets Classification/025 Classification with Word2Vec and SVM.en.srt 11.3 kB
- 03 DistilBERT _ Faster and Cheaper BERT model from Hugging Face/038 Run Your First Flask Application.en.srt 11.3 kB
- 02 Fine Tuning BERT for Disaster Tweets Classification/028 BERT Model Building and Training.en.srt 11.1 kB
- 01 BERT _ Sentiment Prediction _ Multi Class Prediction Problem/014 Saving and Loading Fine Tuned Model.en.srt 10.8 kB
- 03 DistilBERT _ Faster and Cheaper BERT model from Hugging Face/030 Sentiment-Classification-using-DistilBERT.zip 10.7 kB
- 04 Deploy Your DistilBERT ML Model at AWS EC2 Windows Machine with Flask/047 Run Your First Flask Application on AWS EC2.en.srt 10.7 kB
- 06 Deploy Robust and Secure Production Server with NGINX, uWSGI, and Flask/066 Start API Services at System Startup.en.srt 10.2 kB
- 07 Multi-Label Classification _ Deploy Facebook's FastText NLP Model in Production/071 Notebook Setup.en.srt 10.2 kB
- 07 Multi-Label Classification _ Deploy Facebook's FastText NLP Model in Production/076 Setting Python3 and PIP3 Alias.en.srt 10.1 kB
- 02 Fine Tuning BERT for Disaster Tweets Classification/024 Classification with TFIDF and SVM.en.srt 10.0 kB
- 07 Multi-Label Classification _ Deploy Facebook's FastText NLP Model in Production/073 FastText Model Training.en.srt 10.0 kB
- 07 Multi-Label Classification _ Deploy Facebook's FastText NLP Model in Production/078 Making Your Server Ready.en.srt 10.0 kB
- 07 Multi-Label Classification _ Deploy Facebook's FastText NLP Model in Production/080 Testing Prediction API at Local Machine.en.srt 9.9 kB
- 07 Multi-Label Classification _ Deploy Facebook's FastText NLP Model in Production/082 Configuring uWSGI Server.en.srt 9.8 kB
- 04 Deploy Your DistilBERT ML Model at AWS EC2 Windows Machine with Flask/042 Create AWS Account.en.srt 9.6 kB
- 05 Deploy Your DistilBERT ML Model at AWS Ubuntu (Linux) Machine with Flask/052 Create AWS Account.en.srt 9.6 kB
- 04 Deploy Your DistilBERT ML Model at AWS EC2 Windows Machine with Flask/044 Connect EC2 Instance from Windows 10.en.srt 9.6 kB
- 06 Deploy Robust and Secure Production Server with NGINX, uWSGI, and Flask/061 Virtual Environment Setup.en.srt 9.4 kB
- 06 Deploy Robust and Secure Production Server with NGINX, uWSGI, and Flask/062 Setting Up Flask Server.en.srt 9.3 kB
- 05 Deploy Your DistilBERT ML Model at AWS Ubuntu (Linux) Machine with Flask/054 Connect AWS Ubuntu (Linux) from Windows Computer.en.srt 9.3 kB
- 06 Deploy Robust and Secure Production Server with NGINX, uWSGI, and Flask/064 Installing TensorFlow 2 and KTRAIN.en.srt 9.1 kB
- 02 Fine Tuning BERT for Disaster Tweets Classification/021 Most and Least Common Words.en.srt 8.9 kB
- 02 Fine Tuning BERT for Disaster Tweets Classification/018 Target Class Distribution.en.srt 8.8 kB
- 01 BERT _ Sentiment Prediction _ Multi Class Prediction Problem/004 What is BERT.en.srt 8.7 kB
- 04 Deploy Your DistilBERT ML Model at AWS EC2 Windows Machine with Flask/043 Create Free Windows EC2 Instance.en.srt 8.1 kB
- 05 Deploy Your DistilBERT ML Model at AWS Ubuntu (Linux) Machine with Flask/055 Install PIP3 on AWS Ubuntu.en.srt 7.7 kB
- 03 DistilBERT _ Faster and Cheaper BERT model from Hugging Face/039 Predict Sentiment at Your Local Machine.en.srt 7.4 kB
- 03 DistilBERT _ Faster and Cheaper BERT model from Hugging Face/031 Notebook Setup.en.srt 7.2 kB
- 01 BERT _ Sentiment Prediction _ Multi Class Prediction Problem/013 Testing Fine Tuned BERT Model.en.srt 7.2 kB
- 03 DistilBERT _ Faster and Cheaper BERT model from Hugging Face/034 Save Model at Google Drive.en.srt 7.1 kB
- 01 BERT _ Sentiment Prediction _ Multi Class Prediction Problem/006 Going Deep Inside ktrain Package.en.srt 7.0 kB
- 01 BERT _ Sentiment Prediction _ Multi Class Prediction Problem/009 Installing ktrain.en.srt 7.0 kB
- 01 BERT _ Sentiment Prediction _ Multi Class Prediction Problem/005 What is ktrain.en.srt 7.0 kB
- 06 Deploy Robust and Secure Production Server with NGINX, uWSGI, and Flask/060 NGINX Introduction.en.srt 6.9 kB
- 01 BERT _ Sentiment Prediction _ Multi Class Prediction Problem/010 Loading Dataset.en.srt 6.7 kB
- 02 Fine Tuning BERT for Disaster Tweets Classification/022 One-Shot Data Cleaning.en.srt 6.4 kB
- 05 Deploy Your DistilBERT ML Model at AWS Ubuntu (Linux) Machine with Flask/053 Launch Ubuntu Machine on EC2.en.srt 6.4 kB
- 01 BERT _ Sentiment Prediction _ Multi Class Prediction Problem/001 Welcome.en.srt 6.3 kB
- 04 Deploy Your DistilBERT ML Model at AWS EC2 Windows Machine with Flask/048 Transfer DistilBERT Model to EC2 Flask Server.en.srt 6.2 kB
- 06 Deploy Robust and Secure Production Server with NGINX, uWSGI, and Flask/065 Configuring uWSGI Server.en.srt 6.1 kB
- 01 BERT _ Sentiment Prediction _ Multi Class Prediction Problem/002 Introduction.en.srt 6.1 kB
- 02 Fine Tuning BERT for Disaster Tweets Classification/023 Disaster Words Visualization with Word Cloud.en.srt 6.1 kB
- 07 Multi-Label Classification _ Deploy Facebook's FastText NLP Model in Production/077 Creating 4GB Extra RAM by Memory Swapping.en.srt 5.7 kB
- 02 Fine Tuning BERT for Disaster Tweets Classification/017 Download Dataset.en.srt 5.6 kB
- 03 DistilBERT _ Faster and Cheaper BERT model from Hugging Face/035 Model Evaluation.en.srt 4.7 kB
- 07 Multi-Label Classification _ Deploy Facebook's FastText NLP Model in Production/069 FastText-Multi-Label-Text-Classification.zip 4.6 kB
- 04 Deploy Your DistilBERT ML Model at AWS EC2 Windows Machine with Flask/045 Install Python on EC2 Windows 10.en.srt 4.4 kB
- 05 Deploy Your DistilBERT ML Model at AWS Ubuntu (Linux) Machine with Flask/056 Update and Upgrade Your Ubuntu Packages.en.srt 3.6 kB
- 01 BERT _ Sentiment Prediction _ Multi Class Prediction Problem/007 Notebook Setup.en.srt 3.3 kB
- 03 DistilBERT _ Faster and Cheaper BERT model from Hugging Face/037 Flask App Preparation.en.srt 2.1 kB
- 03 DistilBERT _ Faster and Cheaper BERT model from Hugging Face/036 Download Fine Tuned DistilBERT Model.en.srt 2.1 kB
01 BERT _ Sentiment Prediction _ Multi Class Prediction Problem/003 DO NOT SKIP IT _ Download Working Files.html 1.9 kB- 01 BERT _ Sentiment Prediction _ Multi Class Prediction Problem/008 Must Read.html 1.8 kB
- 02 Fine Tuning BERT for Disaster Tweets Classification/015 Resources Folder.html 926 Bytes
Readme.txt 148 Bytes
02 Fine Tuning BERT for Disaster Tweets Classification/[Tutorialsplanet.NET].url 128 Bytes- 06 Deploy Robust and Secure Production Server with NGINX, uWSGI, and Flask/[Tutorialsplanet.NET].url 128 Bytes
- [Tutorialsplanet.NET].url 128 Bytes
- 02 Fine Tuning BERT for Disaster Tweets Classification/020 Number of Words, Average Words Length, and Stop words Distribution in Tweets.en.srt 0 Bytes
- 05 Deploy Your DistilBERT ML Model at AWS Ubuntu (Linux) Machine with Flask/051 Install Git Bash and Commander Terminal on Local Computer.en.srt 0 Bytes
- 05 Deploy Your DistilBERT ML Model at AWS Ubuntu (Linux) Machine with Flask/051 Install Git Bash and Commander Terminal on Local Computer.mp4 0 Bytes
- 07 Multi-Label Classification _ Deploy Facebook's FastText NLP Model in Production/069 NGINX-uWSGI-and-Flask-Installation-Guide-Jupyter-Notebook.zip 0 Bytes
- 07 Multi-Label Classification _ Deploy Facebook's FastText NLP Model in Production/074 FastText Model Evaluation and Saving at Google Drive.en.srt 0 Bytes
- 07 Multi-Label Classification _ Deploy Facebook's FastText NLP Model in Production/074 FastText Model Evaluation and Saving at Google Drive.mp4 0 Bytes
- 07 Multi-Label Classification _ Deploy Facebook's FastText NLP Model in Production/083 Deploy FastText Model in Production with NGINX, uWSGI, and Flask.mp4 0 Bytes
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