Build and Deploy NLP Model with Python, Docker, Flask, GitLab, Jenkins

A to Z (NLP) Machine Learning Model building and Deployment.

Python, Docker, Flask, GitLab, Jenkins tools and technology used for deploy model in your Local server.

Machine Learning Real value comes from actually deploying a machine learning solution into production and the necessary monitoring and optimization work that comes after it.

Most of the problems nowadays as I have made a machine-learning model but what next.

How it is available to the end-user, the answer is through API, but how it works?

How you can understand where the Docker stands and how to monitor the build we created.

This course has been designed to keep these areas under consideration. The combination of industry-standard build pipeline with some of the most common and important tools.

This course has been designed into Following sections:

1. Configure and a quick walkthrough of each of the tools and technologies we used in this course.
2. Building our NLP Machine Learning model and tune the hyperparameters.
3. Creating flask API and running the WebAPI in our Browser.
4. Creating the Docker file, build our image and running our ML Model in Docker container.
5. Configure GitLab and push your code in GitLab.
6. Configure Jenkins and write Jenkins’s file and run end-to-end Integration.

This course is perfect for you to have a taste of industry-standard Data Science and deploying in the local server. Hope you enjoy the course as I enjoyed making it.

What you’ll learn

• Developing the NLP Model for Sentiment analysis and Machine learning deployment on local server using flask and docker.
• Select the most efficient Machine Learning Model, Tune the hyper-parameters and selecting the best model using cross-validation technique
• A quick discussion from the basic in nutshell about DevOps tools like docker, Git and GitLab, Jenkins etc.
• A better understanding about software development and automation in real scenario and concept of end-to-end Integration.

#Docker #Flask #NLP #MachineLearning #python

What is GEEK

Buddha Community

top 30 Python Tips and Tricks for Beginners

Welcome to my Blog , In this article, you are going to learn the top 10 python tips and tricks.

1) swap two numbers.

2) Reversing a string in Python.

3) Create a single string from all the elements in list.

4) Chaining Of Comparison Operators.

5) Print The File Path Of Imported Modules.

6) Return Multiple Values From Functions.

7) Find The Most Frequent Value In A List.

8) Check The Memory Usage Of An Object.

…

#python #python hacks tricks #python learning tips #python programming tricks #python tips #python tips and tricks #python tips and tricks advanced #python tips and tricks for beginners #python tips tricks and techniques #python tutorial #tips and tricks in python #tips to learn python #top 30 python tips and tricks for beginners

Build and Deploy NLP Model with Python, Docker, Flask, GitLab, Jenkins

A to Z (NLP) Machine Learning Model building and Deployment.

Python, Docker, Flask, GitLab, Jenkins tools and technology used for deploy model in your Local server.

Machine Learning Real value comes from actually deploying a machine learning solution into production and the necessary monitoring and optimization work that comes after it.

Most of the problems nowadays as I have made a machine-learning model but what next.

How it is available to the end-user, the answer is through API, but how it works?

How you can understand where the Docker stands and how to monitor the build we created.

This course has been designed to keep these areas under consideration. The combination of industry-standard build pipeline with some of the most common and important tools.

This course has been designed into Following sections:

1. Configure and a quick walkthrough of each of the tools and technologies we used in this course.
2. Building our NLP Machine Learning model and tune the hyperparameters.
3. Creating flask API and running the WebAPI in our Browser.
4. Creating the Docker file, build our image and running our ML Model in Docker container.
5. Configure GitLab and push your code in GitLab.
6. Configure Jenkins and write Jenkins’s file and run end-to-end Integration.

This course is perfect for you to have a taste of industry-standard Data Science and deploying in the local server. Hope you enjoy the course as I enjoyed making it.

What you’ll learn

• Developing the NLP Model for Sentiment analysis and Machine learning deployment on local server using flask and docker.
• Select the most efficient Machine Learning Model, Tune the hyper-parameters and selecting the best model using cross-validation technique
• A quick discussion from the basic in nutshell about DevOps tools like docker, Git and GitLab, Jenkins etc.
• A better understanding about software development and automation in real scenario and concept of end-to-end Integration.

#Docker #Flask #NLP #MachineLearning #python

Lambda, Map, Filter functions in python

Welcome to my Blog, In this article, we will learn python lambda function, Map function, and filter function.

Lambda function in python: Lambda is a one line anonymous function and lambda takes any number of arguments but can only have one expression and python lambda syntax is

Syntax: x = lambda arguments : expression

Now i will show you some python lambda function examples:

#python #anonymous function python #filter function in python #lambda #lambda python 3 #map python #python filter #python filter lambda #python lambda #python lambda examples #python map

Live: Python - Docker e Docker Compose - Projeto Flask extensions

Neste episódio colocamos o serviço #python para rodar com #Docker e Docker compose e o próximo passo será a #api Multistreaming with https://restream.io/?ref…

#python #docker compose #docker #projeto flask #flask

Python Tricks Every Developer Should Know

Python is awesome, it’s one of the easiest languages with simple and intuitive syntax but wait, have you ever thought that there might ways to write your python code simpler?

In this tutorial, you’re going to learn a variety of Python tricks that you can use to write your Python code in a more readable and efficient way like a pro.

Let’s get started

Swapping value in Python

Instead of creating a temporary variable to hold the value of the one while swapping, you can do this instead

>>> FirstName = "kalebu"
>>> LastName = "Jordan"
>>> FirstName, LastName = LastName, FirstName 
>>> print(FirstName, LastName)
('Jordan', 'kalebu')

#python #python-programming #python3 #python-tutorials #learn-python #python-tips #python-skills #python-development