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README.md

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-# Data Science Course App
-
-An interactive Streamlit-based platform for guiding students through a 10-week machine learning research paper project.
-
-## Project Structure
-
-```
-DS_course_app/
-├── app/
-│   ├── pages/           # Individual week pages
-│   ├── components/      # Reusable Streamlit components
-│   └── utils/          # Utility functions
-├── data/               # Sample datasets and resources
-├── assets/            # Images, CSS, and other static files
-├── environment.yml    # Conda environment file
-└── requirements.txt   # Project dependencies (alternative)
-```
-
-## Setup Instructions
-
-1. Create and activate the Conda environment:
-```bash
-# Create the environment from environment.yml
-conda env create -f environment.yml
-
-# Activate the environment
-conda activate ds_course_app
-```
-
-2. Run the application:
-```bash
-streamlit run app/main.py
-```
-
-## Course Structure
-
-The course is designed to guide students through the process of creating a machine learning research paper over 10 weeks:
-
-1. Week 1: Research Topic Selection and Literature Review
-2. Week 2: Data Collection and Preprocessing
-3. Week 3: Exploratory Data Analysis
-4. Week 4: Feature Engineering
-5. Week 5: Model Selection and Baseline
-6. Week 6: Model Training and Optimization
-7. Week 7: Model Evaluation
-8. Week 8: Results Analysis
-9. Week 9: Paper Writing
-10. Week 10: Final Review and Submission
-
-## Features
-
-- Interactive learning modules for each week
-- Progress tracking
-- Sample datasets and resources
-- Code templates and examples
-- Peer review system
-- Submission and feedback system
-
-## Environment Management
-
-### Using Conda (Recommended)
-```bash
-# Create environment
-conda env create -f environment.yml
-
-# Activate environment
-conda activate ds_course_app
-
-# Update environment
-conda env update -f environment.yml
-
-# Deactivate environment
-conda deactivate
-```
-
-### Alternative: Using pip
-If you prefer using pip, you can still use the requirements.txt file:
-```bash
-pip install -r requirements.txt
-```