Clustering-in-PythonClustering methods in Machine Learning includes both theory and python code of each algorithm. Algorithms include K Mean, K Mode, Hierarchical, DB Scan and Gaussian Mixture Model GMM. Interview questions on clustering are also added in the end.
target-and-marketA data-driven tool to identify the best candidates for a marketing campaign and optimize it.
hyperbolic-learningImplemented ML algorithms in hyperbolic geometry (MDS, K-Means, Support vector machines, etc.)
Amazon-Fine-Food-ReviewMachine learning algorithm such as KNN,Naive Bayes,Logistic Regression,SVM,Decision Trees,Random Forest,k means and Truncated SVD on amazon fine food review
NTFk.jlUnsupervised Machine Learning: Nonnegative Tensor Factorization + k-means clustering
KMeans elbowCode for determining optimal number of clusters for K-means algorithm using the 'elbow criterion'
skmeansSuper fast simple k-means implementation for unidimiensional and multidimensional data.
ParallelKMeans.jlParallel & lightning fast implementation of available classic and contemporary variants of the KMeans clustering algorithm
tsp-essayA fun study of some heuristics for the Travelling Salesman Problem.