cheny98's Stars
functionaldata/PACE_matlab
crewml/crewml
Open source ML Python package for airline Crew Pairing Optimization
nonlinearthink/SCBAnalysis
数学建模校一等奖: 学生校园消费行为分析案例
zhangzhaobinzzz/retail
学生校园消费行为分析
supersdfsf/xuesehngxiaofeixingweifenxi
学生校园消费行为分析
mbai8854/machine-learning-notes
My continuously updated Machine Learning, Probabilistic Models and Deep Learning notes and demos (1000+ slides) 我不间断更新的机器学习,概率模型和深度学习的讲义(1000+页)和视频链接
sohanghosh29/Clustering-Codes
This repository contains codes for performing some clustering techniques including KMeans and Sparse Subspace Clustering
atyams/FIFA2019_Analysis_from_coach_and_management
Performed Principal Component Analysis, Cluster models and Exploratory Factor Analysis on FIFA dataset to identify the clusters among players, latent variables of management, and coach perspective on this Multivariate DataSet.
tirthajyoti/R-stats-machine-learning
Misc Statistics and Machine Learning codes in R
ShariqAhmed007/MLmatchmaking
Using Machine Learning to find people with similar personalities & interest for matchmaking
perezjoan/Clustering-PCA-HCPC
Principal Component Analysis - Hierarchical Clustering on Principle Components on quantitative data
smoijueh/DigitRecognizer
Exploratory Data Analysis of MNIST dataset
RRafiee/Gaussian-mixture-modelling
Gaussian mixture modelling - Unsupervised learning
poudeldinesh/Multivariate-Analysis-World-Happiness-Report
Unsupervised Learning
davpinto/ml-simulations
Animated Visualizations of Popular Machine Learning Algorithms
nharmon/gt-cs7641
Georgia Tech CS 7641 - Machine Learning
ebenmichael/gaussianProcess
R package for Gaussian Process regression with various kernels
soumenca/An-Efficient-Gaussian-Kernel-Based-Fuzzy-Rough-Set-Approach-for-Feature-Selection
An Efficient Gaussian Kernel Based Fuzzy-Rough Set Approach for Feature Selection
NadeeshaPerera/Machine-Learning---SVM-Decision-tree-Boosting
This R file implements the algorithms 1. Support Vector Machines: linear, Gaussian and Sigmoid kernels; 2. Decision tree; 3. Boosting; using "mlr" library to predict the online news popularity.
bozmik/gseaK
A modified version of the Gene Set Enrichment Analysis (GSEA) with applying a Gaussian Kernel Density Estimator instead of a histogram.
susanli2016/Data-Analysis-with-R
Using gglot2, tidyr, dplyr, ggmap, choroplethr, shiny, logistic regression, clustering models and more
sbailey/empca
Principal Component Analysis (PCA) for Missing and/or Noisy Data
LauraBalzer/HierarchicalTMLE
R code to generate simulated data and implement the hierarchical TMLEs described in "A new approach to hierarchical data analysis: Targeted maximum likelihood estimation for the causal effect of a cluster-level exposure", Balzer et al. SMMR 2018.
patr1ckm/mvtboost
Boosted regression trees for multivariate, longitudinal, and hierarchically clustered data.
avouros/Code-KMeans-benchmark
Code for the manuscript: "An empirical comparison between stochastic and deterministic centroid initialisation for K-Means variations"
avouros/clustering-workplace
A gui for running different K-Means clustering techniques on benchmark datasets
siddheshk/Faster-Kmeans
Code for a faster K-means clustering heuristic
Ronlee12355/Road2R
A curated list of amazingly awesome R libraries, resources and package collection.
jacoxu/StackOverflow
One short text dataset for classification and clustering extracted from StackOverflow
panji530/Deep-subspace-clustering-networks