Cancer Genomics | Neural Networks vs k-NN Classifiers


Machine Learning for Python Hackers

What you will learn

Use Anaconda IDE

Use Jupyter IDE

Machine Learning

Cancer Genomics

k-NN Classifier

Neural Networks

Deep Learning

mglearn Library for Visualization

Why take this course?


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Cancer Genomics | Neural Networks vs k-NN Classifiers :Β Machine Learning for Python Hackers is a crash course in Data Science and Cancer Genomics for anyone interested in cancer research. The course starts out withΒ loading up aΒ cancer dataset to split train and test. This course is unique in Data Science in that it uses the mglearn library for better visualization and is dedicated to providing details as such so the student can follow along with no ambiguity.

  • k-NN Classifications with detailed visualization
  • Neural Network built from scratch with line by line explanation and visualization!
  • Build a GCΒ Β :Content Calculator!Β 
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