Machine Learning Model Deployment with Streamlit

سرفصل های دوره

Deploy ML models with Streamlit and share your data science work with the world

1. Introduction to Streamlit

1. Welcome!.html

2. Installation and setup

3. Overview of Streamlit and its features

4.1 Source code on GitHub.html

4. Creating a basic Streamlit app

2. Streamlit fundamentals

1.1 Source code on GitHub.html

1. Text elements in Streamlit

2.1 Source code on GitHub.html

2. Data display elements

3.1 Source code on GitHub.html

3. Charting elements

4.1 Source code on GitHub.html

4. Input widgets - Part 1

5.1 Source code on GitHub.html

5. Input widgets - Part 2

6.1 Source code on GitHub.html

6. Forms in Streamlit

7.1 Source code on GitHub.html

7. Customize the layout

8.1 Starter file on GitHub.html

8. Capstone project - Build an interactive dashboard

9.1 Source code on GitHub.html

9. Capstone project - Build an interactive dashboard - Solution

3. Caching

1. Basics of caching in Streamlit

2.1 Source code on GitHub.html

2. Code - Basics of caching

3.1 Source code on GitHub.html

3. Refactor our dashboard with caching

4. Advanced caching in Streamlit

5.1 Source code on GitHub.html

5. Capstone project - Deploy a classification model with caching

6.1 Source code on GitHub.html

6. Improving our last capstone

4. Session state management

1. Basics of state mangement

2.1 Source code on GitHub.html

2. Code - State management

3. Advanced state management

4.1 Source code on GitHub.html

4. Code - Advanced state management

5.1 Source code on GitHub.html

5. Build a temperature conversion calculator

6.1 Source code on GitHub.html

6. Capstone project - Deploy a regression model with state management

5. Multipage applications

1. Basics of multipage applications

2.1 Source code on GitHub.html

2. Code - Build your first multipage app

3. Widget state mangement in multipage apps

4.1 Source code on GitHub.html

4. Code - Implement a workaround for multipage apps

5.1 Source code on GitHub.html

5. Capstone project - Train and rank different classification models

6. Authentication

1. Basic authentication

2.1 Source code on GitHub.html

2. Code - Basic authentication

3. Streamlit-Authenticator

4.1 Source code on GitHub.html

4. Code - Streamlit-Authenticator

5.1 Source code on GitHub.html

5. Capstone project - Clustering for a marketing campaign

7. Connect to data sources

1. Connect to data sources

2.1 Source code on GitHub.html

2. Code - Connect to a database (Supabase)

3.1 Source code on GitHub.html

3. Code - Make API calls

4.1 Article - Forecasting Intermittent Time Series in Python.html

4.2 Source code on GitHub.html

4. Capstone project - Deploy a demand forecasting model

8. Deploy to production

1. Deployment process

2. Deploy a Streamlit app

3. Advanced deployment concepts

4. Deploy a Streamlit app with secrets

5. Next steps

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تولید کننده: Udemy