[Free] Cancer Genomics | Neural Networks Vs K-Nn Classifiers
Machine Learning for Python Hackers – Free Course
What you’ll learn
- Use Anaconda IDE
- Use Jupyter IDE
- Machine Learning
- Cancer Genomics
- k-NN Classifier
- Neural Networks
- Deep Learning
- mglearn Library for Visualization
Requirements
- Student should have basic OOPL skills.
Description
Cancer Genomics | Neural Networks vs k-NN Classifiers : 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 with loading up a 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 GC :Content Calculator!
FREE
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