2024 Deployment of Machine Learning Models in Production

سرفصل های دوره

Deploy ML Model with BERT, DistilBERT, FastText NLP Models in Production with Flask, uWSGI, and NGINX at AWS EC2

1 - BERT Sentiment Prediction Multi Class Prediction Problem

1 - Welcome

2 - Introduction

3 - DO NOT SKIP IT Download Working Files.html

3 - Sentiment-Classification-using-BERT.zip

4 - What is BERT

5 - What is ktrain

6 - Going Deep Inside ktrain Package

7 - Notebook Setup

8 - Must Read This.html

9 - Installing ktrain

10 - Loading Dataset

11 - TrainTest Split and Preprocess with BERT

12 - BERT Model Training

13 - Testing Fine Tuned BERT Model

14 - Saving and Loading Fine Tuned Model

2 - Fine Tuning BERT for Disaster Tweets Classification

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

15 - Resources Folder.html

16 - BERT Intro Disaster Tweets Dataset Understanding

17 - Download Dataset

18 - Target Class Distribution

19 - Number of Characters Distribution in Tweets

20 - Number of Words Average Words Length and Stop words Distribution in Tweets

21 - Most and Least Common Words

22 - OneShot Data Cleaning

23 - Disaster Words Visualization with Word Cloud

24 - Classification with TFIDF and SVM

25 - Classification with Word2Vec and SVM

26 - Word Embeddings and Classification with Deep Learning Part 1

27 - Word Embeddings and Classification with Deep Learning Part 2

28 - BERT Model Building and Training

29 - BERT Model Evaluation

3 - DistilBERT Faster and Cheaper BERT model from Hugging Face

30 - DistilBERT-App.zip

30 - Sentiment-Classification-using-DistilBERT.zip

30 - What is DistilBERT

31 - Notebook Setup

32 - Data Preparation

33 - DistilBERT Model Training

34 - Save Model at Google Drive

35 - Model Evaluation

36 - Download Fine Tuned DistilBERT Model

37 - Flask App Preparation

38 - Run Your First Flask Application

39 - Predict Sentiment at Your Local Machine

40 - Build Predict API

41 - Deploy DistilBERT Model at Your Local Machine

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

42 - Create AWS Account

43 - Create Free Windows EC2 Instance

44 - Connect EC2 Instance from Windows 10

45 - Install Python on EC2 Windows 10

46 - Must Read This.html

47 - Install TensorFlow 2 and KTRAIN

48 - Run Your First Flask Application on AWS EC2

49 - Transfer DistilBERT Model to EC2 Flask Server

50 - Deploy ML Model on EC2 Server

51 - Make Your ML Model Accessible to the World

5 - Deploy Your DistilBERT ML Model at AWS Ubuntu Linux Machine with Flask

52 - Install Git Bash and Commander Terminal on Local Computer

53 - Create AWS Account

54 - Launch Ubuntu Machine on EC2

55 - Connect AWS Ubuntu Linux from Windows Computer

56 - Install PIP3 on AWS Ubuntu

57 - Update and Upgrade Your Ubuntu Packages

58 - Must Read This.html

59 - Install TensorFlow 2 KTRAIN and Upload DistilBert Model

60 - Create Extra RAM from SSD by Memory Swapping

61 - Deploy DistilBERT ML Model on EC2 Ubuntu Machine

6 - Deploy Robust and Secure Production Server with NGINX uWSGI and Flask

62 - NGINX Introduction

62 - NGINX-uWSGI-and-Flask-Installation-Guide-Jupyter-Notebook.zip

63 - Virtual Environment Setup

64 - Setting Up Flask Server

65 - NGINX Running Flask Application

66 - NGINX Running uWSGI Application

67 - Configuring uWSGI Server

68 - Start API Services at System Startup

69 - Configuring NGINX with uWSGI and Flask Server

70 - Congrats You Have Deployed ML Model in Production

7 - MultiLabel Classification Deploy Facebooks FastText NLP Model in Production

71 - FastText-App.zip

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

71 - NGINX-uWSGI-and-Flask-Installation-Guide-Jupyter-Notebook.zip

71 - What is MultiLabel Classification

72 - FastText Research Paper Review

73 - Notebook Setup

74 - Data Preparation

75 - FastText Model Training

76 - FastText Model Evaluation and Saving at Google Drive

77 - Creating Fresh Ubuntu Machine

78 - Setting Python3 and PIP3 Alias

79 - Creating 4GB Extra RAM by Memory Swapping

80 - Making Your Server Ready

81 - Preparing Prediction APIs

82 - Testing Prediction API at Local Machine

83 - Testing Prediction API at AWS Ubuntu Machine

84 - Configuring uWSGI Server

85 - Deploy FastText Model in Production with NGINX uWSGI and Flask

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تولید کننده: Udemy