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https://github.com/akshaiprasanth/bank_note_analysis


https://github.com/akshaiprasanth/bank_note_analysis

knn-classifier logistic-regression-classifier numpy pandas random-forest-classifier svm-classifier

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# **BANK_NOTE _ANALYSIS**

The project involved collecting images of both genuine and counterfeit banknotes and using an industrial camera typically used for print inspection to digitize them. The resulting images were 400x400 pixels in size and had a resolution of around 660 dpi due to the camera lens and distance from the subject. Features were then extracted from the images using a Wavelet Transform tool.

## Author

- [@prasanth](https://github.com/AkshaiPrasanth/)

![Logo](https://github.com/AkshaiPrasanth/Bank_Note_Analysis/blob/main/bank%20note.jpeg?raw=true)

## Screenshots

![App Screenshot](https://github.com/AkshaiPrasanth/Bank_Note_Analysis/blob/main/download.png?raw=true)

# Hi, I'm PRASANTH! 👋

## 🚀 About Me
A Engineer who want to be a Data Scientist !.. I bring a unique viewpoint and set of talents to the sector. My technical experience has provided me with a solid foundation in problem solving and analytical thinking.As a young data scientist, I'm quite talented at extracting insights and information from data utilising mathematical and statistical methodologies. I have a solid background in computer science and am knowledgeable about programming languages such as Python. I am a great analyst who can successfully convey my results to both technical and non-technical audiences. I'm used to dealing with huge, complicated datasets and have used machine learning approaches to tackle real-world challenges. I'm always looking for new ways to learn and improve in my career, and I'm enthusiastic about the limitless potential that data science has to offer.

## 🔗 Links
[![portfolio](https://img.shields.io/badge/my_portfolio-000?style=for-the-badge&logo=ko-fi&logoColor=white)](https://github.com/AkshaiPrasanth/)
[![linkedin](https://img.shields.io/badge/linkedin-0A66C2?style=for-the-badge&logo=linkedin&logoColor=white)](www.linkedin.com/in/prasanth-k-a7b087176)

## 🛠 Skills
1. PYTHON
2. MACHINE LEARNING
3. ARTIFICIAL INTELLIGENCE
4. DEEP LEARNING
5. DATA SCIENCE
6. SQL
7. JavaScript
8. HTML
9. CSS