Basic Knowledge of Python Programming Language.
Basic understanding about Data Science and Machine Learning.
Basic understanding of Pandas, Numpy and Matplotlib.
ARE YOU LOOKING A FAST AND EASY WAY TO CREATE WEB APPS AND DASHBOARDS FOR YOUR DATA SCIENCE AND MACHINE LEARNING PROJECTS THEN THIS IS THE PERFECT COURSE FOR YOU.
Streamlit is an open-source Python library that makes it easy to create and share beautiful, custom web apps for machine learning and data science that can be used to share analytics results, build complex interactive experiences, and illustrate new machine learning models. In just a few minutes you can build and deploy powerful data apps.
On top of that, developing and deploying Streamlit apps is incredibly fast and flexible, often turning application development time from days into hours.
In this course you will learn:
- Different input types in streamlit
- Data display elements
- Layouts and Containers
- How to add images and videos to your Streamlit web app
- Different Chart elements like Line Chart, Bar Chart etc…
- 3 Complete Projects using Machine Learning and Streamlit.
- Stock Market Index Prediction App
- Calories Burned Calculator App
- Insurance Premium Prediction App
At the end of the course, you will have built several applications that you can include in your Data Science and Machine Learning portfolio. You will also have a new skill to add to your resume.
After completing this course you will be able to quickly build web apps and dashboards for your Data Science and Machine Learning Projects using Streamlit.
Who this course is for:
- Python Developers curious about Streamlit.
- Data Scientists and ML Engineers who want to create a quick and beautiful user interface for their ML Models.
- Anyone who wants to learn to build web apps in a fast and easy manner.
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