Create DP-100 Mini Projects folder structure with weekly project scaffolding

[Copilot]

This PR establishes the complete folder and file structure for the DP-100 Mini Projects repository, providing scaffolding for the 4-week Azure Machine Learning study program outlined in the README.

Changes Made

Created the following directory structure with placeholder files:

DP-100-Mini-Projects/
├── Week1_BuildYourLab/
│   ├── workspace_setup.md
│   ├── conda_env.yml
│   ├── sample_data/
│   └── compute_config.json
├── Week2_SentimentExplorer/
│   ├── automl_notebook.ipynb
│   ├── review_data/
│   └── mlflow_tracking.md
├── Week3_SmartDeployment/
│   ├── training_script.py
│   ├── pipeline_config.json
│   └── deployment_test.md
├── Week4_AskTheArchive/
│   ├── promptflow_chain.json
│   ├── rag_config.md
│   └── fine_tuning_script.py
└── README.md (existing)

File Contents

All files contain appropriate placeholder content based on their file type:

• Markdown files (.md): ## Placeholder
• Python files (.py): # Placeholder
• JSON files (.json): {}
• YAML files (.yml): # Placeholder
• Jupyter notebooks (.ipynb): {}

The data folders (sample_data/ and review_data/) are intentionally left empty as specified.

Purpose

This structure provides a foundation for the hands-on Azure Data Scientist Associate certification learning path, with each week focusing on different aspects of Azure ML:

1. Week 1: Environment setup and workspace design
2. Week 2: Data exploration and AutoML experimentation
3. Week 3: Model training, pipelines, and deployment
4. Week 4: Language model optimization and RAG implementation

Students and educators can now clone the repository and have immediate access to the organized project structure for systematic Azure ML learning.

This pull request was created as a result of the following prompt from Copilot chat.

Create at the root of the repository the following folder and file structure:

DP-100-Mini-Projects/
├── Week1_BuildYourLab/
│ ├── workspace_setup.md
│ ├── conda_env.yml
│ ├── sample_data/
│ └── compute_config.json
├── Week2_SentimentExplorer/
│ ├── automl_notebook.ipynb
│ ├── review_data/
│ └── mlflow_tracking.md
├── Week3_SmartDeployment/
│ ├── training_script.py
│ ├── pipeline_config.json
│ └── deployment_test.md
├── Week4_AskTheArchive/
│ ├── promptflow_chain.json
│ ├── rag_config.md
│ └── fine_tuning_script.py
└── README.md

All files should contain a short placeholder appropriate for their file type (e.g., '# Placeholder' for .py, '## Placeholder' for .md, '{}' for .json, etc.), and the data folders should be empty.

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[RKiddle]

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