Build & Host Artificial Intelligence Apps: Apps for EDA | NLP | cancer Prediction | Sales Forecasting | CLV (Customer Lifetime Value) | Market Basket Analysis.
What you’ll learn
- How to build AI applications
- How to use streamlit
- How to apply the concepts of AI in a real world web application
- How to host a AI web application
In summary, end-users wanted a simple web app to view the results of AI algorithms and data scientists wanted a platform to build AI web apps easily & faster. Streamlit addressed both these needs perfectly.
I am going to demonstrate how to build a healthcare AI app (and few other examples) in less than 50 lines of code using a streamlit platform. This covers AI/ML code as well as code for the app including the user interface. We will start with the functionalities of streamlit and then cover how to build and host web applications.
For those who are new to AI, Machine Learning, Deep Learning, Natural Language Processing (NLP) and Exploratory Data Analysis (EDA) are included in the program. Python is also covered extensively to assist those who are looking for a refresher on python topics or are new to python itself.
In all, this program can be pursued by both experienced professionals as well as those who are new to the world of AI.
Let’s build stunning web-based AI apps!
Who this course is for:
- Experienced data scientists
- College students
- Data scientists who are starting their career
- Web application developers
- IT professionals who want to switch their career to AI.
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