skin_cancer_diagnosis

Aim to create a reliable skin cancer diagnosis model with extensive experimentation and handling imbalenced dataset.

Documentation

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

MLflow experiment Logs

All the experiment results and models are logged in MLflow for a clearer understanding and detailed inference : View here

Run Locally

Clone the project

  git clone https://github.com/uvaishnav/skin_cancer_diagnosis.git

Create a conda environment after opening the repository

  conda create -n cancerenv python=3.9 -y

  conda activate cancerenv

Install requirements

  pip install -r requirements.txt

Start the server

python app.py

Now,

open up you local host and port