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 or 3 Days

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. A perfect project for your first Kaggle competition.

Course Syllabus

1
Session 1: Project Setup & Data Exploration

Structure your project like a professional data scientist. Perform Exploratory Data Analysis (EDA) with Pandas to uncover hidden insights and formulate a hypothesis for the Titanic dataset.

2
Session 2: Feature Engineering & Data Cleaning

Transform raw data into meaningful features. Learn to handle missing values, outliers, and convert categorical data into numerical formats using Scikit-learn pipelines.

3
Session 3: Training Your First Predictive Model

Implement and compare Logistic Regression and Decision Tree classifiers using Scikit-learn. Understand the trade-offs of each model and the importance of a train-test split for validation.

4
Session 4: Model Evaluation & Submission

Master key evaluation metrics like accuracy, precision, and recall. Learn to interpret a confusion matrix and submit your final predictions to a simulated Kaggle leaderboard.

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Build 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.