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    Deployment of Machine Learning Models in Production | Python

    BY
    Udemy

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    Mode

    Online

    Fees

    ₹ 449 2899

    Quick Facts

    particular details
    Medium of instructions English
    Mode of learning Self study
    Mode of Delivery Video and Text Based

    Course and certificate fees

    Fees information
    ₹ 449  ₹2,899
    certificate availability

    Yes

    certificate providing authority

    Udemy

    The syllabus

    BERT | Sentiment Prediction | Multi Class Prediction Problem

    • Welcome
    • Introduction
    • DO NOT SKIP IT | Download Working Files!!!
    • What is BERT
    • What is ktrain
    • Going Deep Inside ktrain Package
    • Notebook Setup
    • Must Read This!!!
    • Installing ktrain
    • Loading Dataset
    • Train-Test Split and Preprocess with BERT
    • BERT Model Training
    • Testing Fine Tuned BERT Model
    • Saving and Loading Fine Tuned Model

    Fine Tuning BERT for Disaster Tweets Classification

    • Resources Folder
    • BERT Intro - Disaster Tweets Dataset Understanding
    • Download Dataset
    • Target Class Distribution
    • Number of Characters Distribution in Tweets
    • Number of Words, Average Words Length, and Stop words Distribution in Tweets
    • Most and Least Common Words
    • One-Shot Data Cleaning
    • Disaster Words Visualization with Word Cloud
    • Classification with TFIDF and SVM
    • Classification with Word2Vec and SVM
    • Word Embeddings and Classification with Deep Learning Part 1
    • Word Embeddings and Classification with Deep Learning Part 2
    • BERT Model Building and Training
    • BERT Model Evaluation

    DistilBERT | Faster and Cheaper BERT model from Hugging Face

    • What is DistilBERT?
    • Notebook Setup
    • Data Preparation
    • DistilBERT Model Training
    • Save Model at Google Drive
    • Model Evaluation
    • Download Fine Tuned DistilBERT Model
    • Flask App Preparation
    • Run Your First Flask Application
    • Predict Sentiment at Your Local Machine
    • Build Predict API
    • Deploy DistilBERT Model at Your Local Machine

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

    • Create AWS Account
    • Create Free Windows EC2 Instance
    • Connect EC2 Instance from Windows 10
    • Install Python on EC2 Windows 10
    • Must Read This!!!
    • Install TensorFlow 2 and KTRAIN
    • Run Your First Flask Application on AWS EC2
    • Transfer DistilBERT Model to EC2 Flask Server
    • Deploy ML Model on EC2 Server
    • Make Your ML Model Accessible to the World

    Deploy Your DistilBERT ML Model at AWS Ubuntu (Linux) Machine with Flask

    • Install Git Bash and Commander Terminal on Local Computer
    • Create AWS Account
    • Launch Ubuntu Machine on EC2
    • Connect AWS Ubuntu (Linux) from Windows Computer
    • Install PIP3 on AWS Ubuntu
    • Update and Upgrade Your Ubuntu Packages
    • Must Read This!!!
    • Install TensorFlow 2, KTRAIN and Upload DistilBert Model
    • Create Extra RAM from SSD by Memory Swapping
    • Deploy DistilBERT ML Model on EC2 Ubuntu Machine

    Deploy Robust and Secure Production Server with NGINX, uWSGI, and Flask

    • NGINX Introduction
    • Virtual Environment Setup
    • Setting Up Flask Server
    • NGINX Running Flask Application
    • NGINX Running uWSGI Application
    • Configuring uWSGI Server
    • Start API Services at System Startup
    • Configuring NGINX with uWSGI, and Flask Server
    • Congrats! You Have Deployed ML Model in Production

    Multi-Label Classification | Deploy Facebook's FastText NLP Model in Production

    • What is Multi-Label Classification?
    • FastText Research Paper Review
    • Notebook Setup
    • Data Preparation
    • FastText Model Training
    • FastText Model Evaluation and Saving at Google Drive
    • Creating Fresh Ubuntu Machine
    • Setting Python3 and PIP3 Alias
    • Creating 4GB Extra RAM by Memory Swapping
    • Making Your Server Ready
    • Preparing Prediction APIs
    • Testing Prediction API at Local Machine
    • Testing Prediction API at AWS Ubuntu Machine
    • Configuring uWSGI Server
    • Deploy FastText Model in Production with NGINX, uWSGI, and Flask

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