Teacher Hub
  • πŸ‘‹Welcome
    • About ReDI School
    • Career Services
    • Help
      • Community Guidelines
      • I cannot teach
      • I am dropping out
      • Volunteer Rights
      • Get in Touch for Support
  • πŸ—“οΈTimeline
    • Planning Session
    • Student Interviews
    • Teacher Trainings
      • Building Inclusive Learning Spaces
      • Reduce Teacher Talking Time
      • Feedback that Works
    • Kick-Off
    • Teacher Touchpoints
    • Demo Day
  • 🌐Full Stack Track
    • HTML / CSS
      • Get Started
        • Course Overview
        • Timeline
        • Essential Tools
        • Complete your Self-Onboarding
      • Tools & Platforms
        • Course Sheet
        • Zoom
        • Attendance Tracker
        • Google Classroom
      • Course Content
        • Class Engagement
        • Teaching Guidelines
        • Homework
        • Final Project
      • Teaching Team
        • Session Owner
        • Session Assist
        • Backup Teacher
        • Homework Reviewer
      • Weekly Sessions
        • Regular Class
    • Javascript
      • Get Started
        • Course Overview
        • Timeline
        • Essential Tools
        • Content Introduction
        • Complete your Self-Onboarding
      • Tools & Platforms
        • Zoom
        • Attendance Tracker
        • Google Classroom
        • Course Sheet
      • Course Content
        • Class Engagement
        • Teaching Guidelines
        • Homework
        • Final Project
      • Teaching Team
        • Session Owner
        • Session Assist
        • Backup Teacher
        • Homework Reviewer
      • Weekly Sessions
        • Regular Class
    • Full Stack Bootcamp
      • Get Started
        • Course Overview
        • Timeline
        • Essential Tools
        • Content Introduction
        • Complete your Self-Onboarding
      • Tools & Platforms
        • Course Sheet
        • Zoom
        • Attendance Tracker
        • Google Classroom
      • Course Content
        • Learning Design
        • Class Engagement
        • Teaching Guidelines
        • Demo Day
      • Teaching Team
        • Coach
        • Session Owner
        • Session Assist
        • Backup Teacher
        • Practice Session Owner
        • Project Reviewer
      • Weekly Sessions
        • Practice Session with Q&A
        • Coaching Session
        • Regular Class
    • Full Stack Circle
      • Get Started
        • Course Overview
        • Timeline
        • Essential Tools
        • Content Introduction
        • Complete your Self-Onboarding
      • Tools & Platforms
        • Course Sheet
        • Zoom
        • Attendance Tracker
        • Google Classroom
      • Course Content
        • Curriculum
        • Class Engagement
        • Teaching Guidelines
        • Demo Day
      • Guides Team
      • Project Sessions
  • πŸ“ŠData / AI Track
    • Python Foundations
      • Get Started
        • Course Overview
        • Timeline
        • Essential Tools
        • Content Introduction
        • Complete your Self-Onboarding
      • Tools & Platforms
        • Course Sheet
        • Zoom
        • Attendance Tracker
        • Google Classroom
      • Course Content
        • Class Engagement
        • Teaching Guidelines
        • Preject
        • Final Project
      • Teaching Team
        • Session Owner
        • Session Assist
        • Backup Teacher
        • Homework Reviewer
      • Weekly Sessions
    • Data Analytics (Online)
      • Get Started
        • Course Overview
        • Timeline
        • Essential Tools
        • Content Introduction
        • Complete your Self-Onboarding
      • Tools & Platforms
        • Course Sheet
        • Zoom
        • Attendance Tracker
        • Google Classroom
      • Course Content
        • Class Engagement
        • Teaching Guidelines
        • Preject
        • Final Project Phase
      • Teaching Team
        • Session Owner
        • Session Assist
        • Homework Reviewer
        • Backup Teacher
      • Weekly Sessions
    • Data Analytics (Hybrid)
      • Get Started
        • Course Overview
        • Timeline
        • Essential Tools
        • Content Introduction
        • Complete your Self-Onboarding
      • Tools & Platforms
        • Course Sheet
        • Zoom
        • Attendance Tracker
        • Google Classroom
      • Course Content
        • Class Engagement
        • Teaching Guidelines
        • Preject
        • Final Project Phase
      • Teaching Team
        • Session Owner
        • Session Assist
        • Backup Teacher
        • Homework Reviewer
      • Weekly Sessions
    • Machine Learning / AI (Online)
      • Get Started
        • Course Overview
        • Timeline
        • Essential Tools
        • Content Introduction
        • Complete your Self-Onboarding
      • Tools & Platforms
        • Course Sheet
        • Zoom
        • Attendance Tracker
        • Google Classroom
      • Course Content
        • Class Engagement
        • Teaching Guidelines
        • Final Project
      • Teaching Team
        • Session Owner
        • Session Assist
        • Backup Teacher
        • Homework Reviewer
      • Weekly Sessions
    • Machine Learning / AI (Hybrid)
      • Get Started
        • Course Overview
        • Timeline
        • Essential Tools
        • Content Introduction
        • Complete your Self-Onboarding
      • Tools & Platforms
        • Course Sheet
        • Zoom
        • Attendance Tracker
        • Google Classroom
      • Course Content
        • Class Engagement
        • Teaching Guidelines
        • Final Project
      • Teaching Team
        • Session Owner
        • Session Assist
        • Backup Teacher
        • Homework Reviewer
      • Weekly Sessions
    • Data Circle
      • Get Started
        • Course Overview
        • Timeline
        • Essential Tools
        • Content Introduction
        • Complete your Self-Onboarding
      • Tools & Platforms
        • Course Sheet
        • Zoom
        • Attendance Tracker
        • Google Classroom
      • Course Content
        • Class Engagement
        • Teaching Guidelines
        • Demo Day
      • Guides Team
      • Project Sessions
  • πŸ’»Tech & Design Basics
    • UX/UI Bootcamp
      • Get Started
        • Course Overview
        • Timeline
        • Essential Tools
        • Content Introduction
        • Complete your Self-Onboarding
      • Tools & Platforms
        • Figma
        • Course Sheet
        • Zoom
        • Attendance Tracker
        • Google Classroom
      • Course Content
        • Class Engagement
        • Teaching Guidelines
        • Demo Day
      • Teaching Team
        • Coach
        • Session Owner
        • Session Assist
        • Backup Teacher
        • Practice Session Owner
        • Project Reviewer
      • Weekly Sessions
        • Coaching Session
        • Regular Class
        • Practice Session with Q&A
    • Infrastructure Basics
      • Tools & Platforms
        • Course Sheet
        • Zoom
        • Attendance Tracker
      • Timeline
Powered by GitBook
On this page
  • 🌟 Final Project Phase
  • πŸš€ About the Project Phase
  • πŸ§‘β€πŸ’» Project Requirements
  • πŸ’‘ Project Ideas
  • πŸ“‚ Prior Projects
  • πŸ“… Timeline (Spring 2025)
  • 🎀 Class Demo Day
  • πŸŽ‰ Official Demo Day
  • πŸ—£οΈ Presentation Guidelines
  • 🧾 Certification Requirements
  • 🀝 Class Culture & Support
  • Project Phase - Guidelines
  • Project Session Tips
Export as PDF
  1. Data / AI Track
  2. Machine Learning / AI (Hybrid)
  3. Course Content

Final Project

🌟 Final Project Phase

The Final Project is the highlight of the Machine Learning & AI course and a powerful opportunity for learners to apply what they’ve learned to a real-world dataset or problem. This phase challenges students to build, train, and evaluate machine learning modelsβ€”while telling a compelling story about their findings.


πŸš€ About the Project Phase

After completing the main curriculum, students transition into the final project phase, where they work in small teams to explore a machine learning problem from end to end.

Learners will:

  • Work individually or in teams (up to 3 people)

  • Select a dataset or receive one from the teaching team

  • Define a clear machine learning goal

  • Clean and preprocess the data

  • Train, evaluate, and interpret ML models

  • Present findings in a clear and insightful way

πŸ’‘ Goal: Build a small, focused machine learning project that shows off practical understanding and supports portfolio or career goals.


πŸ§‘β€πŸ’» Project Requirements

Each project must include:

  • A defined machine learning objective (e.g. classification, regression, clustering)

  • A well-documented Jupyter Notebook or py files

  • Use of libraries such as scikit-learn, pandas, and matplotlib/seaborn

  • A final presentation with a summary of methods, results, and learnings


πŸ’‘ Project Ideas

Students are encouraged to explore topics they’re passionate about. Possible ideas include:

  • Predicting loan approval or credit risk

  • Classifying text reviews or news articles

  • Predicting house prices or stock trends

  • Clustering customer behavior patterns

  • Any dataset that is realistic in scope and allows for meaningful ML application


πŸ“‚ Prior Projects

Need inspiration? Take a look at these projects from previous semesters:


πŸ“… Timeline (Spring 2025)

Milestone

Date

Project Launch

Tuesday, June 3

Class Demo Day

Wednesday, June 18

Official Demo Day

Date to be confirmed

πŸ“Œ Attendance and presentation in the Class Demo Day are required for students to receive a certificate.


🎀 Class Demo Day

The Class Demo Day is a supportive, internal event where students present their projects to classmates and the teaching team. The goal is to:

  • Practice presenting technical results

  • Receive peer and instructor feedback

  • Reflect on the ML process and learnings

  • Celebrate collaboration and growth


πŸŽ‰ Official Demo Day

The Official Demo Day is an on-site event where selected student teams present their projects to the wider ReDI community, including partners and alumni.

  • It highlights projects across all tracks

  • Teams selected to present will receive mentoring to prepare


πŸ—£οΈ Presentation Guidelines

To help learners prepare their pitch, here’s a suggested format:

  • Length: Max. 5 minutes

  • Mode: Slides and or Jupyter Notebook walkthrough

Proposed Structure:

  1. Intro – What’s the project, and what problem does it solve?

  2. Demo – Show the live demo (notebook, code, visuals)

  3. Challenges & Learning – What went well? What was hard? What did you learn?


🧾 Certification Requirements

To receive a ReDI certificate, learners must:

  • Attend at least 80% of the course

  • Participate in 2 Career Workshops

  • Complete and present a Final Project

  • Attend the Internal Class Demo Day

  • Complete 2 IBM SkillsBuild Courses


🀝 Class Culture & Support

πŸ’¬ β€œWe grow by doing, and by helping each other.”

  • Encourage an open, collaborative environment

  • Use class time for mentoring, troubleshooting, and peer feedback

  • Support teams with check-ins and technical coaching


Project Phase - Guidelines

Project Session Tips


PreviousTeaching GuidelinesNextTeaching Team

Last updated 22 days ago

Let’s celebrate the end of the semester together

πŸ“Š
πŸŽ‰
Winter 2024 – ML & AI Final Projects
Slides