Practical Machine Learning for Beginners in 2022 – Free Udemy Courses
Model Building to Deployment
What you’ll learn
Practical Machine Learning for Beginners in 2022 – Free Udemy Courses
- Understand how to take a model from notebook to deployment
- Ability to use Flask framework for machine learning model deployment
- Ability to Use the Postman application to test your model API endpoints
- Understand How to leverage on Datasist library for faster model building and deployment
Requirements
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Introductory knowledge of Python suffices
Description
This course is for every beginner in the data science space. We have been there before and we understood what your learning challenges are. This short course will focus on showing you end-to-end what it takes to build and deploy a simple machine-learning solution.
We will be building a car pricing prediction engine. This will be purely hands-on.
You will be able to deploy this solution using the flask framework as an API and also as a Platform.
We will also introduce you to libraries that make it easy to quickly explore, build, and deploy a machine-learning solution.
This course assumes you do not have any prior knowledge of Machine Learning or that you have taken a couple of courses but still missing the full picture.
Machine learning models are not useful in silos and this free course will show you the full picture and cover the knowledge gaps.
You will also be able to put to use your knowledge of HTML as we build a simple web interface to interact with the solution.
This course will also introduce you to Postman Application. It is popularly used for testing API and solutions. Postman will help us to interact with the API deployment of our model while our browser is sufficient for interacting with the platform deployment.
We will be making use of the following major applications:
1. Jupyter Notebook
2. Visual Studio Code
3. Postman
Who this course is for:
- Data Science Enthusiast
- Beginner Python Developers curious about Data Science
- Data Analyst willing to move to the predictive space
- Business People curious about model building and deployment
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