Binary classification of images using Bayes classifier

Created a Recommender system based on Products of Factors technique

Supervised and unsupervised Machine Learning on Boston housing prices data

Johns Hopkins University Bloomberg School of Public Health: Data Science Specialization Program: Practical Machine Learning Course: Exercise Quality Classification Prediction Project repo, date created 70114

Human gesture recognition from videos sequences.

This script compares the accuracy of both KNN and Decision Tree and visualizes the same.

Built a model to predict the value of a given house in the Boston real estate market using various statistical analysis tools. Identified the best price that a client can sell their house utilizing machine learning.

SKLearn equivalent of advanced modelling alorithms

An implementation of Artificial Neural Network from scratch (in MATLAB)

A python implementation of linear regression algorithm. (including Maximum Likelihood, Maximum a posterior, Bayesian)

Deep Learning using the platform H2O and R

Built fraud detection classifiers using gaussian naive bayes and decision tress to identify POIs (persons of interests) and applied machine learning techniques such as features selection, precision and recall, and stochastic gradient descent for optimization in Python.

iris数据集的基本数据分析方法，包括KNN,LG,NB,SVM算法。

mnist数据集的基本数据分析方法，包括SVM算法。

Predicting Boston Housing Prices using supervised Machine Learning algorithms

Perl implementation of Markov Chain for the course BIO331

data analyze about Numeric class label

Predicting water pump functionality using a Random Forest classifier