Skip to content

Latest commit

 

History

History
11 lines (8 loc) · 838 Bytes

README.md

File metadata and controls

11 lines (8 loc) · 838 Bytes
Raw

Machine Learning Algorithm Implementations

This repository includes my implementations of various machine learning and related algorithms in Python.

Warning: This repository is a work in progress. Right now, I do not have the time but I plan to add more in the future.

  1. innerproduct.py => Includes a vectorized implementation of inner product
  2. l2distance.py => Finds euclidian distance between rows of two matrices in a vectorized manner
  3. knnclassifier.py => Includes a vectorized implementation of k nearest neighbour algorithm
  4. analyze.py => Analyzes the percentage of disrepancies between predictions and real labels. You can use different loss functions as well.
  5. BayesClassifier.ipynb => This is for Learning From Data course at ITU. It includes Naive Bayes classifier, data visualization, cross validation etc.