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Checked by:
Category:
Language:
English
Total Size:
4.1 GB
Info Hash:
F2BF4C45530F1331A1BAA6FA7C699E08A23D9EBA
Added By:
Added:
June 2, 2023, 12:16 a.m.
Stats:
|
(Last updated: May 17, 2025, 11:59 p.m.)
| File | Size |
|---|---|
| 030 DistilBERT-App.zip | 235.2 MB |
| TutsNode.com.txt | 63 bytes |
| 003 Sentiment-Classification-using-BERT.zip | 326.9 KB |
| 069 NGINX-uWSGI-and-Flask-Installation-Guide-Jupyter-Notebook.zip | 95.4 KB |
| 060 NGINX-uWSGI-and-Flask-Installation-Guide-Jupyter-Notebook.zip | 86.6 KB |
| 068 Congrats! You Have Deployed ML Model in Production.en.srt | 24.5 KB |
| 003 DO NOT SKIP IT _ Download Working Files.html | 1.8 KB |
| 070 FastText Research Paper Review.en.srt | 20.5 KB |
| 041 Deploy DistilBERT Model at Your Local Machine.en.srt | 20.1 KB |
| 079 Preparing Prediction APIs.en.srt | 20.0 KB |
| 050 Make Your ML Model Accessible to the World.en.srt | 17.7 KB |
| 049 Deploy ML Model on EC2 Server.en.srt | 17.7 KB |
| 072 Data Preparation.en.srt | 17.3 KB |
| 057 Install TensorFlow 2 and KTRAIN.en.srt | 16.5 KB |
| 012 BERT Model Training.en.srt | 15.1 KB |
| 046 Install TensorFlow 2 and KTRAIN.en.srt | 14.7 KB |
| 008 Must Read.html | 1.7 KB |
| 019 Number of Characters Distribution in Tweets.en.srt | 14.6 KB |
| 016 BERT Intro - Disaster Tweets Dataset Understanding.en.srt | 14.2 KB |
| 027 Word Embeddings and Classification with Deep Learning Part 2.en.srt | 14.1 KB |
| 058 Create Extra RAM from SSD by Memory Swapping.en.srt | 13.7 KB |
| 059 Deploy DistilBERT ML Model on EC2 Ubuntu Machine.en.srt | 13.7 KB |
| 037 Flask App Preparation.en.srt | 2.1 KB |
| 015 Resources Folder.html | 926 bytes |
| 0 | 153 bytes |
| 070 FastText Research Paper Review.mp4 | 160.1 MB |
| 040 Build Predict API.en.srt | 13.6 KB |
| 081 Testing Prediction API at AWS Ubuntu Machine.en.srt | 13.5 KB |
| 067 Configuring NGINX with uWSGI, and Flask Server.en.srt | 13.5 KB |
| 029 BERT Model Evaluation.en.srt | 13.1 KB |
| 075 Creating Fresh Ubuntu Machine.en.srt | 13.0 KB |
| 032 Data Preparation.en.srt | 12.7 KB |
| 030 What is DistilBERT_.en.srt | 12.5 KB |
| 063 Setting Up uWSGI Server.en.srt | 12.5 KB |
| 011 Train-Test Split and Preprocess with BERT.en.srt | 11.9 KB |
| 083 Deploy FastText Model in Production with NGINX, uWSGI, and Flask.en.srt | 11.6 KB |
| 033 DistilBERT Model Training.en.srt | 11.6 KB |
| 069 What is Multi-Label Classification_.en.srt | 11.6 KB |
| 026 Word Embeddings and Classification with Deep Learning Part 1.en.srt | 11.3 KB |
| 025 Classification with Word2Vec and SVM.en.srt | 11.1 KB |
| 038 Run Your First Flask Application.en.srt | 11.0 KB |
| 028 BERT Model Building and Training.en.srt | 10.9 KB |
| 051 Install Git Bash and Commander Terminal on Local Computer.en.srt | 10.7 KB |
| 014 Saving and Loading Fine Tuned Model.en.srt | 10.5 KB |
| 030 Sentiment-Classification-using-DistilBERT.zip | 10.5 KB |
| 047 Run Your First Flask Application on AWS EC2.en.srt | 10.5 KB |
| 066 Start API Services at System Startup.en.srt | 10.0 KB |
| 071 Notebook Setup.en.srt | 9.9 KB |
| 076 Setting Python3 and PIP3 Alias.en.srt | 9.8 KB |
| 024 Classification with TFIDF and SVM.en.srt | 9.8 KB |
| 073 FastText Model Training.en.srt | 9.8 KB |
| 078 Making Your Server Ready.en.srt | 9.7 KB |
| 080 Testing Prediction API at Local Machine.en.srt | 9.6 KB |
| 082 Configuring uWSGI Server.en.srt | 9.6 KB |
| 042 Create AWS Account.en.srt | 9.4 KB |
| 052 Create AWS Account.en.srt | 9.4 KB |
| 044 Connect EC2 Instance from Windows 10.en.srt | 9.3 KB |
| 061 Virtual Environment Setup.en.srt | 9.2 KB |
| 062 Setting Up Flask Server.en.srt | 9.1 KB |
| [TGx]Downloaded from torrentgalaxy.to .txt | 585 bytes |
| 054 Connect AWS Ubuntu (Linux) from Windows Computer.en.srt | 9.1 KB |
| 064 Installing TensorFlow 2 and KTRAIN.en.srt | 8.9 KB |
| 021 Most and Least Common Words.en.srt | 8.7 KB |
| 018 Target Class Distribution.en.srt | 8.6 KB |
| 004 What is BERT.en.srt | 8.5 KB |
| 020 Number of Words, Average Words Length, and Stop words Distribution in Tweets.en.srt | 8.4 KB |
| 043 Create Free Windows EC2 Instance.en.srt | 7.9 KB |
| 055 Install PIP3 on AWS Ubuntu.en.srt | 7.6 KB |
| 039 Predict Sentiment at Your Local Machine.en.srt | 7.2 KB |
| 074 FastText Model Evaluation and Saving at Google Drive.en.srt | 7.1 KB |
| 031 Notebook Setup.en.srt | 7.1 KB |
| 013 Testing Fine Tuned BERT Model.en.srt | 7.0 KB |
| 034 Save Model at Google Drive.en.srt | 7.0 KB |
| 036 Download Fine Tuned DistilBERT Model.en.srt | 2.0 KB |
| 006 Going Deep Inside ktrain Package.en.srt | 6.9 KB |
| 009 Installing ktrain.en.srt | 6.8 KB |
| 005 What is ktrain.en.srt | 6.8 KB |
| 060 NGINX Introduction.en.srt | 6.7 KB |
| 010 Loading Dataset.en.srt | 6.5 KB |
| 022 One-Shot Data Cleaning.en.srt | 6.2 KB |
| 053 Launch Ubuntu Machine on EC2.en.srt | 6.2 KB |
| 001 Welcome.en.srt | 6.2 KB |
| 048 Transfer DistilBERT Model to EC2 Flask Server.en.srt | 6.0 KB |
| 065 Configuring uWSGI Server.en.srt | 6.0 KB |
| 002 Introduction.en.srt | 6.0 KB |
| 023 Disaster Words Visualization with Word Cloud.en.srt | 5.9 KB |
| 077 Creating 4GB Extra RAM by Memory Swapping.en.srt | 5.6 KB |
| 017 Download Dataset.en.srt | 5.5 KB |
| 035 Model Evaluation.en.srt | 4.6 KB |
| 069 FastText-Multi-Label-Text-Classification.zip | 4.5 KB |
| 045 Install Python on EC2 Windows 10.en.srt | 4.3 KB |
| 056 Update and Upgrade Your Ubuntu Packages.en.srt | 3.5 KB |
| 007 Notebook Setup.en.srt | 3.2 KB |
| 1 | 385.5 KB |
| 016 BERT Intro - Disaster Tweets Dataset Understanding.mp4 | 109.8 MB |
| 2 | 203.9 KB |
| 063 Setting Up uWSGI Server.mp4 | 101.7 MB |
| 3 | 262.3 KB |
| 057 Install TensorFlow 2 and KTRAIN.mp4 | 93.6 MB |
| 4 | 425.4 KB |
| 067 Configuring NGINX with uWSGI, and Flask Server.mp4 | 91.8 MB |
| 5 | 224.5 KB |
| 068 Congrats! You Have Deployed ML Model in Production.mp4 | 84.9 MB |
| 6 | 98.7 KB |
| 058 Create Extra RAM from SSD by Memory Swapping.mp4 | 83.7 MB |
| 7 | 287.2 KB |
| 019 Number of Characters Distribution in Tweets.mp4 | 83.5 MB |
| 8 | 483.7 KB |
| 079 Preparing Prediction APIs.mp4 | 80.8 MB |
| 9 | 244.5 KB |
| 081 Testing Prediction API at AWS Ubuntu Machine.mp4 | 77.5 MB |
| 10 | 562.3 KB |
| 078 Making Your Server Ready.mp4 | 76.5 MB |
| 11 | 524.5 KB |
| 030 What is DistilBERT_.mp4 | 74.1 MB |
| 12 | 969.5 KB |
| 027 Word Embeddings and Classification with Deep Learning Part 2.mp4 | 73.6 MB |
| 13 | 438.7 KB |
| 049 Deploy ML Model on EC2 Server.mp4 | 71.0 MB |
| 14 | 1.9 KB |
| 041 Deploy DistilBERT Model at Your Local Machine.mp4 | 69.5 MB |
| 15 | 544.1 KB |
| 072 Data Preparation.mp4 | 67.4 MB |
| 16 | 594.7 KB |
| 050 Make Your ML Model Accessible to the World.mp4 | 66.8 MB |
| 17 | 197.7 KB |
| 046 Install TensorFlow 2 and KTRAIN.mp4 | 66.6 MB |
| 18 | 436.3 KB |
| 075 Creating Fresh Ubuntu Machine.mp4 | 59.3 MB |
| 19 | 717.0 KB |
| 083 Deploy FastText Model in Production with NGINX, uWSGI, and Flask.mp4 | 58.6 MB |
| 20 | 384.8 KB |
| 029 BERT Model Evaluation.mp4 | 58.4 MB |
| 21 | 581.3 KB |
| 082 Configuring uWSGI Server.mp4 | 58.3 MB |
| 22 | 743.9 KB |
| 066 Start API Services at System Startup.mp4 | 58.1 MB |
| 23 | 880.0 KB |
| 061 Virtual Environment Setup.mp4 | 57.7 MB |
| 24 | 311.1 KB |
| 012 BERT Model Training.mp4 | 56.8 MB |
| 25 | 166.5 KB |
| 040 Build Predict API.mp4 | 56.2 MB |
| 26 | 838.5 KB |
| 064 Installing TensorFlow 2 and KTRAIN.mp4 | 56.1 MB |
| 27 | 944.4 KB |
| 028 BERT Model Building and Training.mp4 | 55.1 MB |
| 28 | 875.2 KB |
| 032 Data Preparation.mp4 | 54.6 MB |
| 29 | 402.6 KB |
| 025 Classification with Word2Vec and SVM.mp4 | 52.9 MB |
| 30 | 108.0 KB |
| 026 Word Embeddings and Classification with Deep Learning Part 1.mp4 | 52.9 MB |
| 31 | 130.7 KB |
| 044 Connect EC2 Instance from Windows 10.mp4 | 52.5 MB |
| 32 | 525.2 KB |
| 011 Train-Test Split and Preprocess with BERT.mp4 | 51.4 MB |
| 33 | 585.2 KB |
| 062 Setting Up Flask Server.mp4 | 50.7 MB |
| 34 | 269.4 KB |
| 076 Setting Python3 and PIP3 Alias.mp4 | 49.3 MB |
| 35 | 700.7 KB |
| 043 Create Free Windows EC2 Instance.mp4 | 47.7 MB |
| 36 | 332.1 KB |
| 071 Notebook Setup.mp4 | 45.8 MB |
| 37 | 248.1 KB |
| 004 What is BERT.mp4 | 45.3 MB |
| 38 | 738.3 KB |
| 055 Install PIP3 on AWS Ubuntu.mp4 | 44.6 MB |
| 39 | 397.9 KB |
| 059 Deploy DistilBERT ML Model on EC2 Ubuntu Machine.mp4 | 44.2 MB |
| 40 | 819.9 KB |
| 024 Classification with TFIDF and SVM.mp4 | 44.2 MB |
| 41 | 835.9 KB |
| 021 Most and Least Common Words.mp4 | 43.4 MB |
| 42 | 628.8 KB |
| 001 Welcome.mp4 | 42.6 MB |
| 43 | 414.7 KB |
| 023 Disaster Words Visualization with Word Cloud.mp4 | 42.2 MB |
| 44 | 863.5 KB |
| 033 DistilBERT Model Training.mp4 | 41.6 MB |
| 45 | 413.5 KB |
| 020 Number of Words, Average Words Length, and Stop words Distribution in Tweets.mp4 | 41.0 MB |
| 46 | 24 bytes |
| 051 Install Git Bash and Commander Terminal on Local Computer.mp4 | 40.9 MB |
| 47 | 83.2 KB |
| 080 Testing Prediction API at Local Machine.mp4 | 40.2 MB |
| 48 | 802.8 KB |
| 073 FastText Model Training.mp4 | 38.6 MB |
| 49 | 387.5 KB |
| 077 Creating 4GB Extra RAM by Memory Swapping.mp4 | 37.0 MB |
| 50 | 993.2 KB |
| 052 Create AWS Account.mp4 | 36.6 MB |
| 51 | 382.2 KB |
| 042 Create AWS Account.mp4 | 36.6 MB |
| 52 | 387.7 KB |
| 060 NGINX Introduction.mp4 | 36.6 MB |
| 53 | 390.2 KB |
| 002 Introduction.mp4 | 35.8 MB |
| 54 | 253.5 KB |
| 065 Configuring uWSGI Server.mp4 | 32.9 MB |
| 55 | 145.2 KB |
| 005 What is ktrain.mp4 | 32.8 MB |
| 56 | 167.7 KB |
| 069 What is Multi-Label Classification_.mp4 | 32.7 MB |
| 57 | 265.8 KB |
| 054 Connect AWS Ubuntu (Linux) from Windows Computer.mp4 | 32.5 MB |
| 58 | 462.7 KB |
| 038 Run Your First Flask Application.mp4 | 32.4 MB |
| 59 | 633.6 KB |
| 022 One-Shot Data Cleaning.mp4 | 32.0 MB |
| 60 | 993.3 KB |
| 018 Target Class Distribution.mp4 | 31.5 MB |
| 61 | 536.5 KB |
| 053 Launch Ubuntu Machine on EC2.mp4 | 31.4 MB |
| 62 | 625.6 KB |
| 006 Going Deep Inside ktrain Package.mp4 | 31.3 MB |
| 63 | 700.1 KB |
| 009 Installing ktrain.mp4 | 29.9 MB |
| 64 | 57.0 KB |
| 017 Download Dataset.mp4 | 29.7 MB |
| 65 | 278.8 KB |
| 047 Run Your First Flask Application on AWS EC2.mp4 | 29.1 MB |
| 66 | 889.3 KB |
| 014 Saving and Loading Fine Tuned Model.mp4 | 25.5 MB |
| 67 | 552.9 KB |
| 048 Transfer DistilBERT Model to EC2 Flask Server.mp4 | 24.4 MB |
| 68 | 571.1 KB |
| 031 Notebook Setup.mp4 | 24.4 MB |
| 69 | 639.2 KB |
| 034 Save Model at Google Drive.mp4 | 22.8 MB |
| 70 | 246.9 KB |
| 039 Predict Sentiment at Your Local Machine.mp4 | 21.9 MB |
| 71 | 125.8 KB |
| 013 Testing Fine Tuned BERT Model.mp4 | 21.0 MB |
| 72 | 980.1 KB |
| 010 Loading Dataset.mp4 | 20.2 MB |
| 73 | 792.1 KB |
| 074 FastText Model Evaluation and Saving at Google Drive.mp4 | 19.9 MB |
| 74 | 73.3 KB |
| 056 Update and Upgrade Your Ubuntu Packages.mp4 | 19.9 MB |
| 75 | 131.4 KB |
| 069 FastText-App.zip | 18.5 MB |
| 76 | 475.0 KB |
| 045 Install Python on EC2 Windows 10.mp4 | 15.8 MB |
| 77 | 223.7 KB |
| 035 Model Evaluation.mp4 | 14.9 MB |
| 78 | 95.4 KB |
| 007 Notebook Setup.mp4 | 7.2 MB |
| 79 | 868.3 KB |
| 037 Flask App Preparation.mp4 | 6.2 MB |
| 80 | 776.8 KB |
| 036 Download Fine Tuned DistilBERT Model.mp4 | 4.9 MB |
| 81 | 110.0 KB |
| 015 Fine-Tuning-BERT-for-Disaster-Tweets-Classification.zip | 2.5 MB |
Name
DL
Uploader
Size
S/L
Added
-
276.8 MB
[0
/
0]
2023-07-27
| Uploaded by freecoursewb | Size 276.8 MB | Health [ 0 /0 ] | Added 2023-07-27 |
-
940.8 MB
[0
/
1]
2023-10-28
| Uploaded by freecoursewb | Size 940.8 MB | Health [ 0 /1 ] | Added 2023-10-28 |
-
695.7 MB
[0
/
4]
2025-02-21
| Uploaded by freecoursewb | Size 695.7 MB | Health [ 0 /4 ] | Added 2025-02-21 |
NOTE
SOURCE: Udemy - Deployment of Machine Learning Models in Production | Python
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COVER
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