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Udemy – Building Machine Learning Web Apps with Python 2021-8
Published on: 2024-12-14 23:31:45
Categories: 28
Descriptions
Building Machine Learning Web Apps with Python, Artificial Intelligence and Machine Learning is affecting every area of our lives and society. Google, Amazon, Netflix, Uber, Facebook and many more industries are using AI and ML models in their products. The opportunities and advantages of Machine Learning is quite numerous. In this wonderful course, we will be exploring the various ways of converting your machine learning models into useful web applications and products. With every section of the course you will develop new skills and improve your understanding of this challenging yet important sub-field of Data Science and Machine Learning. This course is unscripted,fun and exciting but at the same time we dive deep into building Machine Learning web applications.
What you’ll learn
- Building Machine Learning Models with Python
- Build Machine Learning Web Apps
- How to Convert ML Models into Simple and Useful Products
- How to Use ML Models as Packages
- Embedding ML Models into Web Apps [Flask,Streamlit,etc]
- How to use Streamlit to build ML apps
- How to use Flask to build web applications
- Productionize ML Models
Who this course is for
- Programmers and Developers
- Any one interested in building web apps
- ML Engineers and Data Scientist
- Beginner Python Developers interested in Machine Learning and Data Science
- People curious about how to build and productionize their machine learning models
Specificatoin of Building Machine Learning Web Apps with Python
- Publisher : Udemy
- Teacher : Jesse E. Agbe
- Language : English
- Level : All Levels
- Number of Course : 90
- Duration : 25 hours and 5 minutes
Content on 2024-9
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Requirements
- Understand the basics of python and machine learning
- Basic Knowledge of HTML,CSS
- Ability to work around a computer and a terminal
- Determination
Pictures
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Sample Clip
Installation Guide
Extract the files and watch with your favorite player
Subtitle : English
Quality: 720p
Download Links
Download Part 1 – 3 GB
Download Part 2 – 3 GB
Download Part 3 – 3 GB
Download Part 4 – 3 GB
Download Part 5 – 1.09 GB
File size
13.09 GB
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