What you’ll learn
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Building complete Web Applications from Scratch using Streamlit.
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Develop Strong Skills about ALL Streamlit’s Basic and Advanced Features.
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Use Streamlit to create Data Science and Machine Learning Web Apps.
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Learn to build beautiful User Interface for your ML models using Streamlit.
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
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.
Can I download Streamlit Bootcamp course?
You can download videos for offline viewing in the Android/iOS app. When course instructors enable the downloading feature for lectures of the course, then it can be downloaded for offline viewing on a desktop.Can I get a certificate after completing the course?
Yes, upon successful completion of the course, learners will get the course e-Certification from the course provider. The Streamlit Bootcamp course certification is a proof that you completed and passed the course. You can download it, attach it to your resume, share it through social media.Are there any other coupons available for this course?
You can check out for more Udemy coupons @ www.coursecouponclub.com
Note: 100% OFF Udemy coupon codes are valid for maximum 3 days only. Look for "ENROLL NOW" button at the end of the post.
Disclosure: This post may contain affiliate links and we may get small commission if you make a purchase. Read more about Affiliate disclosure here.
Disclosure: This post may contain affiliate links and we may get small commission if you make a purchase. Read more about Affiliate disclosure here.
