Machine Learning Model Deployment with Flask, React & NodeJS
More engineers and experts need to deploy their work as the field of data science develops. It's essential for data professionals to understand the best ways to deploy their models, whether it's for testing, gathering user input, or simply demonstrating the capabilities. Deploying models will also aid the development and operations teams, making you a crucial member of your team at work and contributing to the versatility and demand of the data science sector. Are you thus prepared to dive in and discover how to employ the most potent web development tools in order to advance your data science career?
Greetings and welcome you to the course Machine Learning Model Deployment using Flask, React, and NodeJS! Using some of the most in-demand and well-liked technologies, such as Flask, NodeJS, and ReactJS, you can learn how to take a Data Science or Machine Learning model and deploy it to a Web App and API. Prepare to use a DS model to simulate a real-world situation that can be applied to industrial processes in a practical and hands-on manner. After completing the course, you'll be able to separate out from the competition among data professionals by demonstrating genuine experience to hiring managers!
Requirements:
- Installs for Linux/Windows/Mac.
Who this course is for:
- Data Scientists who want to take their skills to the next level
- ML/AI engineers that want to know how to deploy models
- DevOps engineers to understand DS model integrations
- Web Developers/Front End Engineers/Back End Engineers
- Any one interested in programming or computer science
- Software engineers or programmers looking to expand their skill set
- In general anyone interested in model deployment and some of the most used libraries in demand today
Course Rating: 4.4/5
Enroll here: https://www.udemy.com/course/machine-learning-model-deployment-with-flask-react-nodejs/
