Building an AutoML Web App with Python, Pandas Profiling, PyCaret, and Streamlit
Offered By: Nicholas Renotte via YouTube
Course Description
Overview
Explore the process of building an AutoML web application using Python, Pandas Profiling, PyCaret, and Streamlit in approximately 15 minutes. Learn how to leverage these powerful tools to create a functional automated machine learning solution. Gain insights into the step-by-step development process, understand the integration of various libraries, and see how to deploy a user-friendly interface for machine learning tasks. Access the provided GitHub repository for the complete source code and follow along with the tutorial to enhance your skills in creating efficient AutoML solutions.
Syllabus
I tried building a AUTO MACHINE LEARNING Web App 15 Minutes
Taught by
Nicholas Renotte
Related Courses
How Google does Machine LearningGoogle Cloud via Coursera Google Cloud Big Data and Machine Learning Fundamentals en Español
Google Cloud via Coursera Machine Learning in the Enterprise
Google Cloud via Coursera Google Cloud Big Data and Machine Learning Fundamentals 日本語版
Google Cloud via Coursera How Google does Machine Learning 日本語版
Google Cloud via Coursera