Applied Machine Learning
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Updated
Jun 15, 2016 - Python
Applied Machine Learning
This is a naive implementaion of softmax classifier with cross entropy loss functioon
Code written for Google's ML Recipies Class
Basic perceptron on Iris dataset
Simple KNN using iris data with euclidean distance or cosine distance.
Code to load iris dataset with two flowers
Perceptron written from scratch in java 8
Package provides the iris dataset for javascript
Neon code for Splice Junction Gene Sequence training and classification (EI / IE / Neither)
Code from the lecure series on Machine Learning by Kevin Markham https://www.youtube.com/watch?v=elojMnjn4kk&list=PL5-da3qGB5ICeMbQuqbbCOQWcS6OYBr5A&index=1
ipython Notebook
Using k-Nearest Neighbors algorithm, training it using 2/3rd of the iris.data and using the rest of the 1/3rd for the test case, and yield prediction for those 1/3rd with an accuracy usually greater than 90% , and this algorithm is implemented without using Python scikit-learn.
Implementation of neural network in tensorflow on iris dataset
Utilization of some basic algorithms for the recogniton of one of the Iris plants among the three existing (Setosa, Versicolor, Virginica) using Java Object Oriented.
Interactively visualizing the k-means algorithm on the Iris dataset
This project demonstrates how to use the "Partitioning Around Medoids" (PAM) technique to create clusters
pandas, sklearn, seaborn, matplotlib
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