New | Created by Leo Bravo | Last updated 2/2021
Duration: 2 hours | 3 sections | 13 lectures | Video: 1280x720, 44 KHz | 1.4 GB
Genre: eLearning | Language: English + Sub
Learn how to convert your data science code into a web app
What you'll learn
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
You need to know the basic about Python
You don't need previous knowledge in data science or machine learning
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.
Who this course is for:
Anyone who wants to convert its data science app into a web app
Anyone who wants to learn how to build a webapp using Streamlit
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