Streamlit ML App from Data -- 2

Send me your Excel or CSV file and I will turn it into a working Streamlit web app that uncovers actionable insights through machine learning.
My first step is a thorough data-prep pass focused on handling missing values—the one cleaning process you specifically flagged. If duplicates or inconsistent formats appear, I can tackle those as well so the model starts from a solid foundation.

Once the data is ready I will:
• compare a suitable machine-learning algorithm against a simple baseline,
• wrap the chosen model inside an easy-to-use Streamlit interface where you can upload fresh data and view predictions instantly,
• write a concise explanation of what the numbers mean for your business decisions.

Deliverables:
1. Cleaned dataset (missing values addressed)
2. Trained ML model + baseline benchmark
3. Streamlit application (ready to run locally)
4. Full, well-commented source code with README
5. One round of revision after you review the demo

I am at the start of my freelance career, so you’ll receive transparent communication and work that reflects the best practices I apply daily in data science and AI.