courseraАнализ данных

Build a Machine Learning Web App with Streamlit and Python

Курс от Coursera

Средний≈ 2 чАнглийский

О курсе

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.

Навыки, которые вы освоите

Pandas (Python Package)Web Applications Scikit Learn (Machine Learning Library)Model Evaluation Data Science Machine Learning Algorithms Classification Algorithms Logistic Regression Plot (Graphics)Interactive Data Visualization Model Optimization Machine Learning Predictive Modeling Applied Machine Learning Model Training Dashboard Creation Data Visualization Software Fine-tuning Python Programming

Программа курса

1 модулей · 4 учебных материалов

01Build a Machine Learning Web App with Streamlit and Python4 материалов

Build a Machine Learning Web App with Streamlit and Python

Project-based Course OverviewЧтение Build a Machine Learning Web App with Streamlit and PythonЛабораторная Graded Quiz: Test your Project UnderstandingЗадание

Учитесь у экспертов

Snehan Kekre

Machine Learning Instructor