> ## Documentation Index
> Fetch the complete documentation index at: https://docs.sifi.life/llms.txt
> Use this file to discover all available pages before exploring further.

# Getting Started — 시작하기

## 소스코드 다운로드

이 핸즈온의 전체 노트북 소스코드는 GitHub에서 다운로드할 수 있습니다.

### 방법 1: Git Clone

```bash theme={null}
git clone https://github.com/SimyungYang/databricks-enablement-blog.git
cd databricks-enablement-blog/hands-on/predictive-maintenance/notebooks/
```

### 방법 2: ZIP 다운로드

[GitHub에서 ZIP 다운로드](https://github.com/SimyungYang/databricks-enablement-blog/archive/refs/heads/main.zip) → 압축 해제 → `hands-on/predictive-maintenance/notebooks/` 폴더 사용

### 방법 3: Databricks Workspace에서 직접 Import

1. Databricks Workspace → **Repos** 메뉴
2. **Add Repo**→ URL: `https://github.com/SimyungYang/databricks-enablement-blog.git`
3. `hands-on/predictive-maintenance/notebooks/` 경로에서 노트북 실행

***

## 노트북 목록

| #   | 파일명                                    | 내용            | 링크                                                                                                                                                           |
| --- | -------------------------------------- | ------------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------ |
| 01  | `01_overview.py`                       | 전체 아키텍처 소개    | [GitHub](https://github.com/SimyungYang/databricks-enablement-blog/blob/main/hands-on/predictive-maintenance/notebooks/01_overview.py)                       |
| 02  | `02_structured_feature_engineering.py` | 피처 엔지니어링      | [GitHub](https://github.com/SimyungYang/databricks-enablement-blog/blob/main/hands-on/predictive-maintenance/notebooks/02_structured_feature_engineering.py) |
| 03  | `03_structured_model_training.py`      | XGBoost 모델 학습 | [GitHub](https://github.com/SimyungYang/databricks-enablement-blog/blob/main/hands-on/predictive-maintenance/notebooks/03_structured_model_training.py)      |
| 03a | `03a_ml_trends_and_techniques.py`      | ML 트렌드        | [GitHub](https://github.com/SimyungYang/databricks-enablement-blog/blob/main/hands-on/predictive-maintenance/notebooks/03a_ml_trends_and_techniques.py)      |
| 03b | `03b_multi_algorithm_comparison.py`    | 다중 알고리즘 비교    | [GitHub](https://github.com/SimyungYang/databricks-enablement-blog/blob/main/hands-on/predictive-maintenance/notebooks/03b_multi_algorithm_comparison.py)    |
| 03c | `03c_advanced_techniques.py`           | 고급 기법         | [GitHub](https://github.com/SimyungYang/databricks-enablement-blog/blob/main/hands-on/predictive-maintenance/notebooks/03c_advanced_techniques.py)           |
| 03d | `03d_retraining_strategies.py`         | 재학습 전략        | [GitHub](https://github.com/SimyungYang/databricks-enablement-blog/blob/main/hands-on/predictive-maintenance/notebooks/03d_retraining_strategies.py)         |
| 04  | `04_model_registration_uc.py`          | UC 모델 등록      | [GitHub](https://github.com/SimyungYang/databricks-enablement-blog/blob/main/hands-on/predictive-maintenance/notebooks/04_model_registration_uc.py)          |
| 05  | `05_challenger_validation.py`          | 챌린저 검증        | [GitHub](https://github.com/SimyungYang/databricks-enablement-blog/blob/main/hands-on/predictive-maintenance/notebooks/05_challenger_validation.py)          |
| 06  | `06_batch_inference.py`                | 배치 추론         | [GitHub](https://github.com/SimyungYang/databricks-enablement-blog/blob/main/hands-on/predictive-maintenance/notebooks/06_batch_inference.py)                |
| 07  | `07_unstructured_anomaly_detection.py` | 비정형 이상탐지      | [GitHub](https://github.com/SimyungYang/databricks-enablement-blog/blob/main/hands-on/predictive-maintenance/notebooks/07_unstructured_anomaly_detection.py) |
| 08  | `08_model_monitoring.py`               | 모델 모니터링       | [GitHub](https://github.com/SimyungYang/databricks-enablement-blog/blob/main/hands-on/predictive-maintenance/notebooks/08_model_monitoring.py)               |
| 09  | `09_mlops_agent.py`                    | MLOps 에이전트    | [GitHub](https://github.com/SimyungYang/databricks-enablement-blog/blob/main/hands-on/predictive-maintenance/notebooks/09_mlops_agent.py)                    |
| 10  | `10_job_scheduling.py`                 | Job 스케줄링      | [GitHub](https://github.com/SimyungYang/databricks-enablement-blog/blob/main/hands-on/predictive-maintenance/notebooks/10_job_scheduling.py)                 |

***

## 사전 요구사항

| 항목                | 요구사항                            |
| ----------------- | ------------------------------- |
| **Workspace**     | Databricks Premium 이상           |
| **Unity Catalog** | 활성화 필수                          |
| **Compute**       | ML Runtime 15.4+ (GPU: 07번 노트북) |
| **권한**            | Catalog/Schema 생성 권한            |

> **주의**
> 노트북 01번을 먼저 실행하여 Catalog, Schema, 샘플 데이터를 생성해야 합니다.