Convert Data Science Code Into a Web App Using Streamlit
Learn how to convert your data science code into a web app
Lectures -14
Resources -1
Duration -1.5 hours
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Course Description
In this course, you are going to learn how you can build a web app focused on Data Science or Machine Learning projects. To do this, you will use the framework Streamlit, a tool that allows you to easily build a web app.
This is a practical course, in which we will build first a data analysis code to analyze a dataset, then train a model, and finally use the model to do some predictions. Then, we will adapt this code to convert it into a web app using Streamlit. Adapting this code will allow you to learn how you can easily create a web app based on python code.
The web app will display text, data frames, and plots. You can even add interactivity to your app, allowing your user to upload its own file and input number. These are only basic examples, but with this knowledge, you can add whatever you want to your app!
You will also learn about a supervised learning algorithm, this is Linear Regression, which we will use to make predictions on our dataset.
You do not need to know Data Science or Web Development, because in this course you will learn the necessary to understand the project.
So, get started building web apps focused on data science or machine learning projects with this very practical course.
Goals
- Learn how to convert a data science local app into a web app
- Learn how to build a web app using Streamlit
- Learn how to build a data analysis using Python, Numpy, Pandas, Sklearn and Matplotlib
- Learn how to adapt a plain data analysis Python code to a Streamlit code
- Learn how to train a linear regression
Prerequisites
- You need to know the basic about Python
- You don’t need previous knowledge in data science or machine learning
Curriculum
Check out the detailed breakdown of what’s inside the course
What is Streamlit?
2 Lectures
-
What is Streamlit? 05:53 05:53
-
Basic example of web app 12:31 12:31
Data Science local app
3 Lectures
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Converting local to web app using Streamlit
8 Lectures
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Instructor Details
![Leonardo Bravo](https://www.tutorialspoint.com/assets/profiles/342654/profile/200_57581-1621631660.jpg)
Leonardo Bravo
I am a Chemical Engineer and Master in Data Science. Actually I am working with deep learning applied to Astronomical data! It's crazy but it's fun too.
I love to teach and I always have been doing classes. I started doing classes at University (for a master course) and then, doing classes in other universities and private classes.
I also love to build things, especially digital things, so for that reason, I love to program and build software (mobiles, web and now, deploy machine learning models).
I hope you can enjoy my courses, and if you have any doubt, you can contact me.
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