Data Science Projects: Data Analysis, ML, and Deployment
Hands-On Data Science Projects: Streamlit & FastAPI for Real-World ML Model Deployment and Visualization
4.30 (310 reviews)
15,061
students
2 hours
content
Aug 2024
last update
$19.99
regular price
What you will learn
Data Analysis and Visualization: Learn to analyze data and create visualizations with Pandas and Matplotlib
Machine Learning Fundamentals: Build, train, and evaluate ML models, mastering algorithms and their real-world applications to solve data problems.
Feature Engineering: Learn feature engineering to create impactful features, improving model performance and prediction accuracy effectively.
Streamlit for Interactive Apps: Develop interactive web apps with Streamlit to deploy and visualize ML models, offering a user-friendly experience.
FastAPI for Model Deployment: Create scalable APIs with FastAPI to deploy ML models, enabling real-time predictions and seamless integration.
End-to-End Project Workflow: Experience the full data science lifecycle from data cleaning and exploration to model deployment with hands-on projects.
Related Topics
5171788
udemy ID
2/21/2023
course created date
2/22/2023
course indexed date
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