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Aim to create a reliable skin cancer diagnosis model with extensive experimentation and handling imbalenced dataset.
This section contains detailed information about the approach, experimentation results, and inferences derived from the project.
For a more detailed view of the documentation, please visit the Full Documentation
All the experiment results and models are logged in MLflow for a clearer understanding and detailed inference : View here
git clone https://github.com/uvaishnav/skin_cancer_diagnosis.git
conda create -n cancerenv python=3.9 -y
conda activate cancerenv
pip install -r requirements.txt
python app.py
open up you local host and port
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