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kp-internship's Introduction

KaiserInnovationInternship

2019 Summer Internship Code

Goals

For KP:

  1. Build tools that make the data science process easier
  2. Explore models that have the potential to be deployed

For Me:

  1. Learn model construction and deployment process from start to finish
  2. Engage with KP innovation process

Code

  1. Outlier Detection Package - consolidate data outlier collection to an easy to use package for data scientists
  2. Feature Engineering - Constructed software package that generated 36-dimensional diagnoses embeddings for use in ML models
  3. Skin Cancer Classifier - Given patient lesion images taken with a dermatoscope, classify skin cancer into Melanocytic nevi, Melanoma, Benign keratosis-like lesions , Basal cell carcinoma, Actinic keratoses, Vascular lesions, or Dermatofibroma. Acheived 84% accuracy.

kp-internship's People

Contributors

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Watchers

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