Build a Machine Learning Web App with Streamlit and Python
5.0 /5- Offered byCoursera
Build a Machine Learning Web App with Streamlit and Python at Coursera Overview
Build a Machine Learning Web App with Streamlit and Python
at Coursera
Learn from this hands-on project on building your first machine learning web app with the Streamlit library in Python
Duration | 2 hours |
Total fee | ₹729 |
Mode of learning | Online |
Schedule type | Self paced |
Difficulty level | Intermediate |
Credential | Certificate |
Build a Machine Learning Web App with Streamlit and Python at Coursera Highlights
Build a Machine Learning Web App with Streamlit and Python
at Coursera
- Get all learning materials, including the interactive workspace and final quiz
- Get instant access to the necessary software packages through Rhyme
- A split-screen video walkthrough of each step, from a subject-matter expert
- Get free download of what students create
- Ability to access your cloud desktop across six different sessions
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Build a Machine Learning Web App with Streamlit and Python at Coursera Course details
Build a Machine Learning Web App with Streamlit and Python
at Coursera
Skills you will learn
Who should do this course?
- For learners who are based in the North America region
What are the course deliverables?
- Data Science
- Machine Learning
- Python Programming
- Streamlit
- Scikit-Learn
More about this course
- By the end of this project, participants are going to be comfortable with using Python and Streamlit to build beautiful and interactive ML web apps with zero web development experience
- Students are going to load, explore, visualize and interact with data, and generate dashboards in less than 100 lines of Python code! Our web application will allows users to choose what classification algorithm they want to use and let them interactively set hyper-parameter values, all without them knowing to code
Build a Machine Learning Web App with Streamlit and Python at Coursera Curriculum
Build a Machine Learning Web App with Streamlit and Python
at Coursera
Project Overview and Demo
Turn Simple Python Scripts into Web Apps
Load the Mushrooms Data Set
Creating Training and Test Sets
Plot Evaluation Metrics
Training a Support Vector Classifier
Training a Support Vector Classifier (Part 2)
Train a Logistic Regression Classifier
Build a Machine Learning Web App with Streamlit and Python at Coursera Faculty details
Build a Machine Learning Web App with Streamlit and Python
at Coursera
Snehan Kekre
Snehan Kekre is a Documentation Writer at Streamlit, the fastest and easiest way to build and share data apps. He has authored and taught over 40+ guided projects on machine learning and data science at Coursera. He has also worked as a skills consultant at Coursera, and as content strategist at Rhyme.com.
Build a Machine Learning Web App with Streamlit and Python at Coursera Entry Requirements
Build a Machine Learning Web App with Streamlit and Python
at Coursera
Eligibility criteria
- Prerequisites : Writing simple Python scripts and using pandas for data manipulation and an understanding of Logistic Regression, Support Vector Machines is recommended
Conditional Offer
- Not mentioned
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Build a Machine Learning Web App with Streamlit and Python at Coursera Students Ratings & Reviews
Build a Machine Learning Web App with Streamlit and Python
at Coursera
5/5
2 Ratings- 4-52
K
Karteek Menda
Build a Machine Learning Web App with Streamlit and Python
Offered by Coursera
5
Other: Being in the MAchine Learning and Data Science field, User interface development using Streamlit is the best way to take our model to the client and predict on the new data.
Reviewed on 26 Sep 2021Read More
View 1 Review
Build a Machine Learning Web App with Streamlit and Python
at Coursera
Student Forum
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