AI Foundations: Predictive Modeling
This is the essential first step into machine learning. Students build confidence by tackling a real-world classification problem and delivering a complete predictive model from start to finish.
Level
Beginner
For
Grades 6-12
Duration
1-Day or 3-Day
What You Will Master
Kaggle-Style Project Workflow
Learn the structured project workflow valued by universities and employers.
Classification Fundamentals
Understand core concepts like Logistic Regression and Decision Trees.
Data Cleaning & Prep
Master the essential art of preparing real-world, messy data for modeling.
Scikit-learn in Practice
Get hands-on with the most popular Python library for machine learning.
The Capstone Project
Titanic Survival Prediction
A classic Kaggle competition that serves as a rite of passage. Students will build a model to predict passenger survival on the Titanic, learning the entire machine learning pipeline from data exploration to model submission. This project is a cornerstone of any data science portfolio.
Key Transformation
Go from basic Python knowledge to building, evaluating, and submitting a predictive classification model on a real-world dataset.
Course Syllabus
1Session 1: Project Setup & Data Exploration
2Session 2: Feature Engineering & Data Cleaning
3Session 3: Training Your First Predictive Model
4Session 4: Model Evaluation & Submission
Explore More Tracks
View All WorkshopsBuild Your Advantage
Our project-based workshops are designed to give you a tangible, verifiable edge. Enroll now to secure your spot and start building your future.
Contact Us