360 classificações
10.369 já se inscreveram
Welcome to this hands-on project on building your first machine learning web app with the Streamlit library in Python. By the end of this project, you are going to be comfortable with using Python and Streamlit to build beautiful and interactive ML web apps with zero web development experience! We 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! Prior experience with writing simple Python scripts and using pandas for data manipulation is recommended. It is required that you have an understanding of Logistic Regression, Support Vector Machines, and Random Forest Classifiers and how to use them in scikit-learn. Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.
Data Science
Machine Learning
Python Programming
Streamlit
Scikit-Learn
Em um vÃdeo reproduzido em uma tela dividida com a área de trabalho, seu instrutor o orientará sobre esses passos:
Sua área de trabalho é um espaço em nuvem, acessado diretamente do navegador, sem necessidade de nenhum download
Em um vÃdeo de tela dividida, seu instrutor te orientará passo a passo
por UO
21 de set de 2020An amazing guided project, very well-taught and very useful.
por RB
13 de jun de 2020Excellent project.Top class stuff from the instructor to make the learning fun and explain a beautiful piece of technology in a simple and efficient way.
por PA
16 de ago de 2020Very good guided course. I learned how to create a Web App without much coding for my ML projects. Thanks for explaining everything in so easy way.
por SH
2 de jun de 2020A great introductory guided project that fueled my enthusiasm for data science and machine learning with knowledge and practical skills.
