Build 12 Data Science Apps with Python and Streamlit - Full Course

Dive into a comprehensive 3-4 hour video course on building interactive and data-driven web applications using Python and the Streamlit library. Master the creation of 12 diverse data science apps, covering topics from simple stock price analysis to complex bioinformatics solubility regression. Explore exploratory data analysis (EDA) techniques applied to various domains including basketball, football, SP500 stocks, and cryptocurrency. Learn classification methods using iris and penguin datasets, and delve into regression analysis with Boston housing data. Gain practical deployment skills by learning how to deploy your apps to Heroku and Streamlit Sharing. Access accompanying code repositories for each project to enhance your learning experience.

) Introduction.
) 1. Simple Stock Price.
) 2. Simple Bioinformatics DNA Count.
) 3. EDA Basketball.
) 4. EDA Football.
) 5. EDA SP500 Stock Price.
) 6. EDA Cryptocurrency.
) 7. Classification Iris.
) 8. Classification Penguins.
) 9. Regression Boston Housing.
) 10. Regression Bioinformatics Solubility.
) 11. Deploy to Heroku.
) 12. Deploy to Streamlit Sharing.