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It's Your Data, Master It.
Streamlit for Data Science Projects
Overview
Skills Needed
Explore how to build end-to-end data science projects using Streamlit. Dive into data exploration, visualization, and model deployment with Streamlit.
Proficiency in Python programming
Understanding of data science concepts
Outline
Introduction to Data Science Projects
Data Loading and Preprocessing with Streamlit
Exploratory Data Analysis (EDA) with Streamlit
Data Visualization Techniques
Machine Learning Model Development
Model Training and Evaluation
Model Deployment with Streamlit
Building Interactive Data Apps
Project Collaboration and Version Control
Best Practices for Data Science Projects with Streamlit
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