Skin Lesion Classification with TensorFlow
Budget: ₹600 – ₹1,500 INR
I am seeking a data scientist or machine learning expert to classify skin lesions using the PH2 Dataset. Your primary task will be to devise a novel classification approach while also experimenting with various existing methods to identify the most effective model.
Key Responsibilities:
- Develop a unique supervised learning-based classification method for skin lesions.
- Experiment with other supervised learning approaches to enhance model performance.
- Utilize TensorFlow as the main machine learning framework for the project.
- Evaluate models primarily based on accuracy.
Ideal Skills:
- Deep understanding and practical experience with TensorFlow.
- Proven track record in developing and implementing supervised learning classifications.
- Strong data analysis skills and experience with the PH2 Dataset.
- Ability to creatively devise novel machine learning approaches.
This project is perfect for someone who is looking to leverage their machine learning expertise in a meaningful way. If you have a passion for data science and a desire to make a difference in the field of dermatology, I would love to hear from you.
Key Responsibilities:
- Develop a unique supervised learning-based classification method for skin lesions.
- Experiment with other supervised learning approaches to enhance model performance.
- Utilize TensorFlow as the main machine learning framework for the project.
- Evaluate models primarily based on accuracy.
Ideal Skills:
- Deep understanding and practical experience with TensorFlow.
- Proven track record in developing and implementing supervised learning classifications.
- Strong data analysis skills and experience with the PH2 Dataset.
- Ability to creatively devise novel machine learning approaches.
This project is perfect for someone who is looking to leverage their machine learning expertise in a meaningful way. If you have a passion for data science and a desire to make a difference in the field of dermatology, I would love to hear from you.