Pulmonary Fibrosis Prediction Deep Learning Model
Budget: ₹600 – ₹1,500 INR
I am looking for an experienced Data Scientist who will help me build a robust Deep Learning Model that can efficiently predict Pulmonary Fibrosis, using a medium-sized Kaggle dataset (10k - 100k samples).
Skills and Experience:
- Extensive experience in building, testing, and optimizing Deep Learning Models.
- Proficiency in Python, with knowledge of machine learning libraries and packages.
- Proven track record in using Convolutional Neural Networks (CNN), Recurrent Neural Networks (RNN), and Transformer Networks.
- Prior work with healthcare datasets is a plus.
Responsibilities:
- Retrieve and preprocess the Kaggle dataset to make it suitable for training a deep learning model.
- Implement a deep learning model utilizing CNN, RNN, and Transformer Networks to predict Pulmonary Fibrosis.
- Ensure that the model accounts for all relevant nuances and intricacies in the data.
- Optimize the model for efficiency and accuracy.
- Documentation of the procedure, results, and any assumptions made.
This project will require a good understanding of deep learning techniques and excellent proficiency in Python. I am excited to see how your expertise can provide a practical solution to this prediction task.
Skills and Experience:
- Extensive experience in building, testing, and optimizing Deep Learning Models.
- Proficiency in Python, with knowledge of machine learning libraries and packages.
- Proven track record in using Convolutional Neural Networks (CNN), Recurrent Neural Networks (RNN), and Transformer Networks.
- Prior work with healthcare datasets is a plus.
Responsibilities:
- Retrieve and preprocess the Kaggle dataset to make it suitable for training a deep learning model.
- Implement a deep learning model utilizing CNN, RNN, and Transformer Networks to predict Pulmonary Fibrosis.
- Ensure that the model accounts for all relevant nuances and intricacies in the data.
- Optimize the model for efficiency and accuracy.
- Documentation of the procedure, results, and any assumptions made.
This project will require a good understanding of deep learning techniques and excellent proficiency in Python. I am excited to see how your expertise can provide a practical solution to this prediction task.