/ML-Redefining-Cancer-Treatment

Medical Domain AI Solution

Primary LanguagePythonMIT LicenseMIT

ML-Redefining-Cancer-Treatment 🩺

  • Personalized Medicine: Redefining Cancer Treatment.
  • Predict the effect of Genetic Variants to enable Personalized Medicine.

Tech stack 👇

Python | Machine Learning | NLP | VS Code 💻

Dataset 👇

  1. In the project "training_text" file is missing under "training" directory (due to upload file size limit). Please find it in the kaggle link provided above.

How to run ? 👇

  1. Clone/Download the project from github.
  2. Open project in Pycharm/VS Code.
  3. Run "run.py" file or Run by highlighting snippets of code.

Application directory structure 👇

Lessons learnt 📖

  • Important business metrics to consider before modelling such as Interpretability, Latency, Due to medical domain very less error etc.
  • Merge dataframes based on IDs.
  • EDA & Viz.
  • Log loss evaluation metrics.
  • Laplace smoothing.
  • Callibirated classifier.
  • Stochastic gradient descent.
  • Response encoding technique.
  • Feature importance.
  • Finally, python 😄

License 👇



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