k-nearest-neighbors topic
classifier
A general purpose text classifier
machine-learning
Python machine learning applications in image processing, recommender system, matrix completion, netflix problem and algorithm implementations including Co-clustering, Funk SVD, SVD++, Non-negative Ma...
Coursera-UW-Machine-Learning-Clustering-Retrieval
cnn-svm-classifier
Using Tensorflow and a Support Vector Machine to Create an Image Classifications Engine
Iris
The original lightweight introduction to machine learning in Rubix ML using the famous Iris dataset and the K Nearest Neighbors classifier.
rcpphnsw
Rcpp bindings for the approximate nearest neighbors library hnswlib
Walmart-Sales-Time-Series-Forecasting-Using-Machine-Learning
Time Series Forecasting of Walmart Sales Data using Deep Learning and Machine Learning
Machine-Learning-without-Libraries
Today, using machine learning algorithms is as easy as "import knn from ..." but it doesn't really help if you want to learn how the algorithms work
NSL-KDD-Network-Intrusion-Detection
Machine Learning Algorithms on NSL-KDD dataset
Segm_Ident_Vertebrae_CNN_kmeans_knn
Segmentation and Identification of Vertebrae in CT Scans using CNN, k-means Clustering and k-NN