Udemy - Build a Diabetes Dashboard with Python, Streamlit and ML
Build a Diabetes Dashboard with Python, Streamlit & ML
https://WebToolTip.com
Published 9/2025
Created by Annapoorani Lingeshwaran
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Beginner | Genre: eLearning | Language: English | Duration: 30 Lectures ( 2h 16m ) | Size: 884 MB
A fast-track, project based course covering data science basics, ML, and visualizations.
What you'll learn
Build an interactive Streamlit dashboard app in Python from scratch, using real-world diabetes data.
Create insightful data visualizations with Pandas, Matplotlib, and Seaborn to explore health datasets.
Develop and integrate machine learning models (e.g., logistic regression, decision tree) into a deployable web app for diabetes prediction.
Deploy a polished, user-friendly data science project that nstrates both coding and applied ML skills — perfect for portfolios or job applications.
Requirements
A computer (Windows, Mac, or Linux) with internet access.
Basic familiarity with Python (variables, functions, simple scripts) is helpful but not required — I’ll guide you step by step.
Willingness to install Anaconda (free, beginner-friendly Python distribution) — I’ll walk you through the setup process in detail.
No prior experience with data visualisation, machine learning, or Streamlit is needed — we’ll build everything from scratch.