data sciences task using physionet of patients using tensorflow NN using Python
Budget: $30 – $250 USD
I am seeking a proficient data scientist with expertise in Python programming to undertake a project involving neural networks. The project needs to be completed by the deadline of May 16, at 5:00 PM.
The task involves the application of three different neural network models: Multilayer Perceptron (MLP), Hybrid (either Convolutional Neural Network (CNN) or a combination of CNN and Recursive Neural Network (RNN)), and GridSearch. I will provide sample data for GridSearch, including various batch_size examples.
The data sets to be used are unstructured, with the load file 'SC_0.csv' to 'SC_19.CSV' approximately ranging between 100-150MB, and 'Y_0.csv' to 'Y_19.csv' being around 10-17KB. I will provide additional details via chat as required.
In terms of technical requirements, it is essential that your computer is equipped with an NVIDIA GPU due to the extensive data size.
Moreover, the successful candidate must have prior experience with artificial neural networks, utilizing either TensorFlow or Keras frameworks.
I have attached the project description document for your detailed review.
Looking forward to your prompt response.
Edit: I forgot to mention the IDE is Spyder or Jupyter.
The task involves the application of three different neural network models: Multilayer Perceptron (MLP), Hybrid (either Convolutional Neural Network (CNN) or a combination of CNN and Recursive Neural Network (RNN)), and GridSearch. I will provide sample data for GridSearch, including various batch_size examples.
The data sets to be used are unstructured, with the load file 'SC_0.csv' to 'SC_19.CSV' approximately ranging between 100-150MB, and 'Y_0.csv' to 'Y_19.csv' being around 10-17KB. I will provide additional details via chat as required.
In terms of technical requirements, it is essential that your computer is equipped with an NVIDIA GPU due to the extensive data size.
Moreover, the successful candidate must have prior experience with artificial neural networks, utilizing either TensorFlow or Keras frameworks.
I have attached the project description document for your detailed review.
Looking forward to your prompt response.
Edit: I forgot to mention the IDE is Spyder or Jupyter.