DAUP_PROJECT - Data Analysis, Crop Detection, and Story Generation

Description

Welcome to DAUP_PROJECT! This repository contains several advanced data analysis projects, including:

• Crop Detection using machine learning and deep learning techniques.
• Story Generation through an AI model.
• UFO Sightings dataset analysis and exploration.

The repository includes datasets, Jupyter notebooks, and other resources related to each project, as well as cleaned data ready for use. Git LFS (Large File Storage) is used to handle large files, including datasets and models.

Features

Crop Detection

• Dataset: Large dataset of crop-related images and features.
• Jupyter Notebook: Crop_detectionvalided.ipynb for model training and validation.

Story Generation

• Text Files: test.txt, train.txt, val.txt used for training and testing the model.
• Jupyter Notebook: story_genrator.ipynb for generating creative stories using an AI model.

UFO Sightings

• Dataset: UFO sighting data in the form of scrubbed.csv.
• Jupyter Notebook: DAUP_CSV_Project.ipynb for data analysis, visualization, and insights.

Other Resources

• Documentation: DATA ANALYSIS USING PYTHON.docx for project documentation and insights.
• Git LFS: Used to store large files like dataset.zip to ensure smooth performance when cloning or pulling from the repository.

Files

• Crop Detection:
  • Crop_detectionvalided.ipynb - Jupyter Notebook for crop detection model validation.
  • dataset.zip - Large dataset used for crop detection.
• Story Generator:
  • story_genrator.ipynb - Notebook for training and generating stories using AI.
  • test.txt - Text file used for testing.
  • train.txt - Text file used for training.
  • val.txt - Text file used for validation.
• UFO Sightings:
  • DAUP_CSV_Project.ipynb - Jupyter notebook for UFO sightings data analysis.
  • scrubbed.csv - Cleaned dataset of UFO sightings.

Top Views and Traffic

This section showcases the top views and traffic to the repository.

• Top Views:

  • As of now, the repository has received a total of [insert total views count] views.

• Top Repositories/Files:

  • The most viewed project is Crop Detection, with [insert views for crop detection] views.
  • The Story Generator has gained a lot of attention with [insert views for story generator] views.

To see detailed traffic metrics, head over to the Insights section of the repository.

Pull Requests

Here are some of the active and merged pull requests for this repository:

• #1 Add model evaluation metrics to crop detection notebook - Added additional evaluation metrics to the crop detection notebook for better model analysis.
• #2 Fix bug in data preprocessing pipeline - Fixed a bug related to CSV preprocessing for UFO sightings dataset.
• #3 Update README.md with clickable links and structure - Improved the README structure and added clickable links for easier navigation.

You can view and contribute to the active pull requests on the Pull Requests Tab.

More About the Repository

Previous Learning and Lab Work

This repository also includes my previous learning and lab work from college, which you can explore here: DAUP_ACTIVITIES

File Structure