AWS SageMaker Course Release v6

🏠 AWS SageMaker Course Materials

This release includes both data files and source code for the AWS SageMaker course.

📊 Data Files (california-housing-data.tar.gz)

• california_housing.csv - Original dataset (20,640 rows)
• california_housing_train.csv - Training set (16,512 rows)
• california_housing_test.csv - Test set (4,128 rows)

🤖 Pre-trained Model

• models/trained_model.joblib - Ready-to-use LinearRegression model (Simple scikit-learn model)

🐍 Source Code (aws-sagemaker-course-source.tar.gz)

• train.py - SageMaker training script for California Housing dataset
• template_1.py - Creates SageMaker training jobs (Estimator + ModelTrainer)
• template_2.py - Model deployment examples (local model + endpoints)
• utils/download_and_preprocess_datasets.py - Data preprocessing utilities
• template_requirements.txt - Python package dependencies to run templates

🚀 Quick Start

# Download everything
wget https://github.com/CodeSignal-Learn/course_building-aws-sagemaker/releases/download/v6/california-housing-data.tar.gz
wget https://github.com/CodeSignal-Learn/course_building-aws-sagemaker/releases/download/v6/aws-sagemaker-course-source.tar.gz
wget https://github.com/CodeSignal-Learn/course_building-aws-sagemaker/releases/download/v6/models/trained_model.joblib

# Extract files
tar -xzf california-housing-data.tar.gz
tar -xzf aws-sagemaker-course-source.tar.gz

# Install dependencies and run
pip install -r template_requirements.txt
python template_1.py  # Training jobs
python template_2.py  # Models deployment

📈 Dataset Features

• Original: MedInc, HouseAge, AveRooms, AveBedrms, Population, AveOccup, Latitude, Longitude, MedHouseVal
• Train/Test: Additional RoomsPerHousehold feature + capped values at 95th percentile
• Split: 80% train / 20% test (random_state=42)

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