Bracketology with Google Machine Learning
Course Details
Course Curriculum & Description
Learn how to use Google Cloud Machine Learning techniques to predict NCAA basketball tournament outcomes in this beginner-friendly guided project. Using real sports data and Google Cloud tools, you'll build a predictive analytics workflow that demonstrates how machine learning can be applied to real-world datasets.
Throughout this hands-on project, you'll explore data preprocessing, feature engineering, SQL queries, BigQuery, and machine learning workflows while creating a simple prediction model for NCAA tournament games.
This project is perfect for beginners who want practical experience with Google Cloud, sports analytics, and machine learning without needing extensive programming knowledge.
Project Details
Hands-on Project
- Introduction to NCAA tournament prediction
- Exploring BigQuery public datasets
- Data cleaning and preprocessing
- Feature engineering techniques
- SQL querying
- Training a simple prediction model
- Evaluating model performance
- Understanding prediction results
- Practical Google Cloud workflow
Project Highlights
- Official Google Cloud Guided Project
- Beginner Friendly
- Hands-on Learning
- Google Cloud Platform
- BigQuery Public Dataset
- Machine Learning Workflow
- Sports Analytics Example
- SQL Practice
- Real-world Dataset
- No Installation Required
What You Will Learn
- Build a complete ML prediction workflow
- Query cloud datasets using BigQuery
- Engineer useful machine learning features
- Analyze sports datasets effectively
- Train beginner-friendly ML models
- Work with Google Cloud services
- Understand predictive analytics concepts
- Prepare datasets for machine learning
- Apply ML techniques to real business problems
- Gain practical cloud AI experience
Course Prerequisites
No prior machine learning experience required
Basic computer skills
Basic understanding of spreadsheets or data
Interest in AI and analytics
Google account for cloud access
Course Highlights
Official Google Cloud Guided Project
Beginner Friendly
Hands-on Learning
Google Cloud Platform
BigQuery Public Dataset
Machine Learning Workflow
Sports Analytics Example
SQL Practice
Real-world Dataset
No Installation Required
