Diabetes Prediction with Bayesian Logistic Regression with rjags

Bayesian Linear Regression (with Bayesian Model Averaging) to Predict the Audience Scores for IMDB Movies

An Open Science Project on Statistics: Doing the power analysis, equivalence test, NHST and computing the Bayes Factor to compare the ratings of a few most recent movies by the legendary directors Satyajit Ray and Akira Kurosawa

Comparing Spectral clustering (with Normalized Graph Laplacian) with KMeans Clustering

Modeling Face Images with Nonnegative Matrix Factorization (NMF), Kmeans with Vector Quantization (VQ) and Singular Value Decompostion (SVD)

Statistical Inference and Modeling for High-throughput Experiments

A Semi-Supervised Classification Algorithm using Markov Chain

Solving the n-queen puzzle with Genetic Algorithm in R

Some Observation Theory: LSE, WLSE and BLUE

Estimating the value of the Percolation threshold via Monte Carlo simulation in R

Google Page Rank, Power Iteration and the Second EigenValue of the Google Matrix

Kernel Denisty Estimation (KDE) and Kernel Regression (KR)

Some Statistics Concepts: Order Statistics and Application in Auction

Some Statistics Concepts: Probability integral transformations

Solving Sudoku with Integer Programming in R

Solving Simple Probability Problems with Simulation

Distributed K-Means with R-Hadoop

Kernel K-Means and Cluster Evaluation

Implementing Low-Rank Matrix Factorization with Alternating Least Squares Optimization for Collaborative Filtering Recommender System in R

Radial Basis Function Classifier in R

KMeans for Image Compression, PCA / MDS / SVD for Visualization in the reduced dimension

Testing Bayesian Concepts in R: using the Gaussian Conjugate Priors to compute the Posterior Distribution

Gibbs Sampling to find the Best K-mer Motifs from a collection of Dna strings in R: BioInformatics Concepts

Modeling the growth of a sunflower with golden angle and Fibonacci numbers

Testing Bayesian Concepts in R: using the Exponential-Gamma Conjugate Priors to compute the Posterior Distribution

Testing Bayesian Concepts in R: using the Poission-Gamma Conjugate Priors to compute the Posterior Distribution

Testing Bayesian Concepts in R: using the Beta-Bernoulli Conjugate Priors to compute the Posterior Distribution

Locality Sensitive Hashing for image retrieval in R

Locality Sensitive Hashing Implementation for Approximate Fast Nearest Neighbor Search in R

Comparing Spectral clustering (with Normalized Graph Laplacian) with KMeans Clustering

Image clustering with GMM-EM soft clustering in R

Using Bayesian Kalman Filter to predict positions of moving particles / objects in 2D

Applying Linear PCA vs. Kernel PCA (with Gaussian Kernel) for dimensionality reduction on a few datasets in R

Decision boundaries obtained with training some R library classifiers

Training Backpropagation Neural Nets on the handwritten digits dataset

Using Multiclass Softmax Multinomial Regularized Logit Classifier and One vs. all Binary Regularized Logistic Regression Classifier with Gradient Descent

Dual Percptron and Kernels: Learning non-linear decision boundaries

Comparing GMM-EM soft clustering with KMeans hard clustering

Bias-Variance Trade-off - the impact of regularization on the Decision Boundary for the SVM and the Logistic Regression Classifier

Using Multivariate Gaussian, Mahalanobis Distance and F1 measure to choose the right probability threshold from the Validation dataset to detect outliers

Using Low Rank Matrix Factorization for Collaborative Filtering Recommender System

Using Expectation Maximization Algorithm for the Gaussian Mixture Models to detect outliers

Using PCA to represnt digits in the eigen-digits space

Using PCA to Detect Outliers in Images

Part of Coursera Data Analysis Tools Week 3 Assignment

Coursera ML for Data Analysis Week 3 Exercise

Part of week1 exercise for the Communicating Data Sciences Results Course

Sentiment Analysis

Practical Machine Learning Project

Reproducible Research: Peer Assessment 1

Reproducible Research Assignment 2