FreeCourseSite com Udemy - Deployment of Machine Learning Models in Production Python

1. 01 BERT _ Sentiment Prediction _ Multi Class Prediction Problem/001 Welcome.mp442.59MB
2. 01 BERT _ Sentiment Prediction _ Multi Class Prediction Problem/002 Introduction.mp435.75MB
3. 01 BERT _ Sentiment Prediction _ Multi Class Prediction Problem/004 What is BERT.mp445.28MB
4. 01 BERT _ Sentiment Prediction _ Multi Class Prediction Problem/005 What is ktrain.mp432.84MB
5. 01 BERT _ Sentiment Prediction _ Multi Class Prediction Problem/006 Going Deep Inside ktrain Package.mp431.32MB
6. 01 BERT _ Sentiment Prediction _ Multi Class Prediction Problem/007 Notebook Setup.mp47.15MB
7. 01 BERT _ Sentiment Prediction _ Multi Class Prediction Problem/009 Installing ktrain.mp429.94MB
8. 01 BERT _ Sentiment Prediction _ Multi Class Prediction Problem/010 Loading Dataset.mp420.23MB
9. 01 BERT _ Sentiment Prediction _ Multi Class Prediction Problem/011 Train-Test Split and Preprocess with BERT.mp451.43MB
10. 01 BERT _ Sentiment Prediction _ Multi Class Prediction Problem/012 BERT Model Training.mp456.84MB
11. 01 BERT _ Sentiment Prediction _ Multi Class Prediction Problem/013 Testing Fine Tuned BERT Model.mp421.04MB
12. 01 BERT _ Sentiment Prediction _ Multi Class Prediction Problem/014 Saving and Loading Fine Tuned Model.mp425.46MB
13. 02 Fine Tuning BERT for Disaster Tweets Classification/016 BERT Intro - Disaster Tweets Dataset Understanding.mp4109.8MB
14. 02 Fine Tuning BERT for Disaster Tweets Classification/017 Download Dataset.mp429.73MB
15. 02 Fine Tuning BERT for Disaster Tweets Classification/018 Target Class Distribution.mp431.48MB
16. 02 Fine Tuning BERT for Disaster Tweets Classification/019 Number of Characters Distribution in Tweets.mp483.53MB
17. 02 Fine Tuning BERT for Disaster Tweets Classification/020 Number of Words, Average Words Length, and Stop words Distribution in Tweets.mp441MB
18. 02 Fine Tuning BERT for Disaster Tweets Classification/021 Most and Least Common Words.mp443.39MB
19. 02 Fine Tuning BERT for Disaster Tweets Classification/022 One-Shot Data Cleaning.mp432.03MB
20. 02 Fine Tuning BERT for Disaster Tweets Classification/023 Disaster Words Visualization with Word Cloud.mp442.16MB
21. 02 Fine Tuning BERT for Disaster Tweets Classification/024 Classification with TFIDF and SVM.mp444.18MB
22. 02 Fine Tuning BERT for Disaster Tweets Classification/025 Classification with Word2Vec and SVM.mp452.89MB
23. 02 Fine Tuning BERT for Disaster Tweets Classification/026 Word Embeddings and Classification with Deep Learning Part 1.mp452.87MB
24. 02 Fine Tuning BERT for Disaster Tweets Classification/027 Word Embeddings and Classification with Deep Learning Part 2.mp473.57MB
25. 02 Fine Tuning BERT for Disaster Tweets Classification/028 BERT Model Building and Training.mp455.15MB
26. 02 Fine Tuning BERT for Disaster Tweets Classification/029 BERT Model Evaluation.mp458.43MB
27. 03 DistilBERT _ Faster and Cheaper BERT model from Hugging Face/030 What is DistilBERT_.mp474.05MB
28. 03 DistilBERT _ Faster and Cheaper BERT model from Hugging Face/031 Notebook Setup.mp424.38MB
29. 03 DistilBERT _ Faster and Cheaper BERT model from Hugging Face/032 Data Preparation.mp454.61MB
30. 03 DistilBERT _ Faster and Cheaper BERT model from Hugging Face/033 DistilBERT Model Training.mp441.6MB
31. 03 DistilBERT _ Faster and Cheaper BERT model from Hugging Face/034 Save Model at Google Drive.mp422.76MB
32. 03 DistilBERT _ Faster and Cheaper BERT model from Hugging Face/035 Model Evaluation.mp414.91MB
33. 03 DistilBERT _ Faster and Cheaper BERT model from Hugging Face/036 Download Fine Tuned DistilBERT Model.mp44.89MB
34. 03 DistilBERT _ Faster and Cheaper BERT model from Hugging Face/037 Flask App Preparation.mp46.24MB
35. 03 DistilBERT _ Faster and Cheaper BERT model from Hugging Face/038 Run Your First Flask Application.mp432.38MB
36. 03 DistilBERT _ Faster and Cheaper BERT model from Hugging Face/039 Predict Sentiment at Your Local Machine.mp421.88MB
37. 03 DistilBERT _ Faster and Cheaper BERT model from Hugging Face/040 Build Predict API.mp456.18MB
38. 03 DistilBERT _ Faster and Cheaper BERT model from Hugging Face/041 Deploy DistilBERT Model at Your Local Machine.mp469.47MB
39. 04 Deploy Your DistilBERT ML Model at AWS EC2 Windows Machine with Flask/042 Create AWS Account.mp436.62MB
40. 04 Deploy Your DistilBERT ML Model at AWS EC2 Windows Machine with Flask/043 Create Free Windows EC2 Instance.mp447.68MB
41. 04 Deploy Your DistilBERT ML Model at AWS EC2 Windows Machine with Flask/044 Connect EC2 Instance from Windows 10.mp452.49MB
42. 04 Deploy Your DistilBERT ML Model at AWS EC2 Windows Machine with Flask/045 Install Python on EC2 Windows 10.mp415.78MB
43. 04 Deploy Your DistilBERT ML Model at AWS EC2 Windows Machine with Flask/046 Install TensorFlow 2 and KTRAIN.mp466.57MB
44. 04 Deploy Your DistilBERT ML Model at AWS EC2 Windows Machine with Flask/047 Run Your First Flask Application on AWS EC2.mp429.13MB
45. 04 Deploy Your DistilBERT ML Model at AWS EC2 Windows Machine with Flask/048 Transfer DistilBERT Model to EC2 Flask Server.mp424.44MB
46. 04 Deploy Your DistilBERT ML Model at AWS EC2 Windows Machine with Flask/049 Deploy ML Model on EC2 Server.mp471MB
47. 04 Deploy Your DistilBERT ML Model at AWS EC2 Windows Machine with Flask/050 Make Your ML Model Accessible to the World.mp466.81MB
48. 05 Deploy Your DistilBERT ML Model at AWS Ubuntu (Linux) Machine with Flask/051 Install Git Bash and Commander Terminal on Local Computer.mp440.92MB
49. 05 Deploy Your DistilBERT ML Model at AWS Ubuntu (Linux) Machine with Flask/052 Create AWS Account.mp436.63MB
50. 05 Deploy Your DistilBERT ML Model at AWS Ubuntu (Linux) Machine with Flask/053 Launch Ubuntu Machine on EC2.mp431.39MB
51. 05 Deploy Your DistilBERT ML Model at AWS Ubuntu (Linux) Machine with Flask/054 Connect AWS Ubuntu (Linux) from Windows Computer.mp432.55MB
52. 05 Deploy Your DistilBERT ML Model at AWS Ubuntu (Linux) Machine with Flask/055 Install PIP3 on AWS Ubuntu.mp444.61MB
53. 05 Deploy Your DistilBERT ML Model at AWS Ubuntu (Linux) Machine with Flask/056 Update and Upgrade Your Ubuntu Packages.mp419.87MB
54. 05 Deploy Your DistilBERT ML Model at AWS Ubuntu (Linux) Machine with Flask/057 Install TensorFlow 2 and KTRAIN.mp493.58MB
55. 05 Deploy Your DistilBERT ML Model at AWS Ubuntu (Linux) Machine with Flask/058 Create Extra RAM from SSD by Memory Swapping.mp483.72MB
56. 05 Deploy Your DistilBERT ML Model at AWS Ubuntu (Linux) Machine with Flask/059 Deploy DistilBERT ML Model on EC2 Ubuntu Machine.mp444.2MB
57. 06 Deploy Robust and Secure Production Server with NGINX, uWSGI, and Flask/060 NGINX Introduction.mp436.62MB
58. 06 Deploy Robust and Secure Production Server with NGINX, uWSGI, and Flask/061 Virtual Environment Setup.mp457.7MB
59. 06 Deploy Robust and Secure Production Server with NGINX, uWSGI, and Flask/062 Setting Up Flask Server.mp450.74MB
60. 06 Deploy Robust and Secure Production Server with NGINX, uWSGI, and Flask/063 Setting Up uWSGI Server.mp4101.74MB
61. 06 Deploy Robust and Secure Production Server with NGINX, uWSGI, and Flask/064 Installing TensorFlow 2 and KTRAIN.mp456.08MB
62. 06 Deploy Robust and Secure Production Server with NGINX, uWSGI, and Flask/065 Configuring uWSGI Server.mp432.86MB
63. 06 Deploy Robust and Secure Production Server with NGINX, uWSGI, and Flask/066 Start API Services at System Startup.mp458.14MB
64. 06 Deploy Robust and Secure Production Server with NGINX, uWSGI, and Flask/067 Configuring NGINX with uWSGI, and Flask Server.mp491.78MB
65. 06 Deploy Robust and Secure Production Server with NGINX, uWSGI, and Flask/068 Congrats! You Have Deployed ML Model in Production.mp484.9MB
66. 07 Multi-Label Classification _ Deploy Facebook's FastText NLP Model in Production/069 What is Multi-Label Classification_.mp432.74MB
67. 07 Multi-Label Classification _ Deploy Facebook's FastText NLP Model in Production/070 FastText Research Paper Review.mp4160.06MB
68. 07 Multi-Label Classification _ Deploy Facebook's FastText NLP Model in Production/071 Notebook Setup.mp445.76MB
69. 07 Multi-Label Classification _ Deploy Facebook's FastText NLP Model in Production/072 Data Preparation.mp467.42MB
70. 07 Multi-Label Classification _ Deploy Facebook's FastText NLP Model in Production/073 FastText Model Training.mp438.62MB
71. 07 Multi-Label Classification _ Deploy Facebook's FastText NLP Model in Production/074 FastText Model Evaluation and Saving at Google Drive.mp419.93MB
72. 07 Multi-Label Classification _ Deploy Facebook's FastText NLP Model in Production/075 Creating Fresh Ubuntu Machine.mp459.3MB
73. 07 Multi-Label Classification _ Deploy Facebook's FastText NLP Model in Production/076 Setting Python3 and PIP3 Alias.mp449.32MB
74. 07 Multi-Label Classification _ Deploy Facebook's FastText NLP Model in Production/077 Creating 4GB Extra RAM by Memory Swapping.mp437.03MB
75. 07 Multi-Label Classification _ Deploy Facebook's FastText NLP Model in Production/078 Making Your Server Ready.mp476.49MB
76. 07 Multi-Label Classification _ Deploy Facebook's FastText NLP Model in Production/079 Preparing Prediction APIs.mp480.76MB
77. 07 Multi-Label Classification _ Deploy Facebook's FastText NLP Model in Production/080 Testing Prediction API at Local Machine.mp440.22MB
78. 07 Multi-Label Classification _ Deploy Facebook's FastText NLP Model in Production/081 Testing Prediction API at AWS Ubuntu Machine.mp477.45MB
79. 07 Multi-Label Classification _ Deploy Facebook's FastText NLP Model in Production/082 Configuring uWSGI Server.mp458.27MB
80. 07 Multi-Label Classification _ Deploy Facebook's FastText NLP Model in Production/083 Deploy FastText Model in Production with NGINX, uWSGI, and Flask.mp458.62MB