extracting-and-visualizing-stock-data

Extract some stock data, then display this data in a graph

fashion-mnist

A MNIST-like fashion product database. Benchmark :point_down:

galaxy-s-smartphone-wearable-data

Prepare tidy data from Samsung Galaxy S smartphone accelerometer data for wearable computing analysis in this project repository

gbm

Generating a stock's geometric Brownian motion using C# and plot the result.

geometric-brownian-motion-simulation

R code to generate and plot sample paths Geometric Brownian Motion for different volatilities

gpu-quickshift-python-bindings

Python bindings for Brian Fultersons really quick shift

hbind

Calculates hydrogen-bond interaction tables for protein-small molecule complexes, based on protein PDB and protonated ligand MOL2 structure input. Raschka et al. (2018) J. Computer-Aided Molec. Design

hospital-ranking-project

analyze hospital performance and ranking based on various healthcare outcome measures, such as 30-day mortality rates for different medical conditions (heart attack, heart failure, and pneumonia).

ileriayo

Hi, welcome to my homepage!

inmemorydatasets.jl

Multithreaded package for working with tabular data in Julia

jagsexamples

Examples of statistical models implemented using JAGS

julia-pde-solver

Julia file that solves a partial differential equation (PDE) using three parts: (1) setting up the PDE, (2) defining the numerical method for solving the PDE, and (3) running the simulation

lambda-calculus

A simple Programming Language Compiler to Lambda-Calculus, with a Lambda-Runtime

linear-regression-health-costs-calculator

Predict healthcare costs using a regression algorithm

maximizing_a_normal_likelihood

GitHub repository for normal likelihood maximization and plotting in R

mephistopheles-0

mephistopheles-0-mean-variance-standard-deviation-calculator

Create a function named calculate() in mean_var_std.py that uses Numpy to output the mean, variance, standard deviation, max, min, and sum of the rows, columns, and elements in a 3 x 3 matrix. The input of the function should be a list containing 9 digits. The function should convert the list into a 3 x 3 Numpy array, and then return a dictionary containing the mean, variance, standard deviation, max, min, and sum along both axes and for the flattened matrix.

mlearn

An Implementation of Mutli-layer Perceptron in C++

mlnotes

Very concise notes on machine learning and statistics.

modmesh

Toolkit for solving partial differential equations

motor-trend-data-regression-analysis

exploring the relationship between a set of variables and miles per gallon (MPG) (outcome)

naive-bayes-text-classifier

Bernoulli and Multinomial Naïve Bayes classifiers for documents using Julia

nasdaq-listings

Data package for Nasdaq listings

nasdaq-volatility-prediction

predict the future volatility of the NASDAQ index using various econometric and machine learning models, including ARCH, GARCH, EGARCH, SVM, and ANN

networklayout.jl

Layout algorithms for graphs and trees in pure Julia.

neural-network-sms-text-classifier

a machine learning model that will classify SMS messages as either "ham" or "spam". A "ham" message is a normal message sent by a friend. A "spam" message is an advertisement or a message sent by a company.

number-guessing-game

Bash scripting, PostgreSQL, and Git to create a number guessing game that runs in the terminal and saves user information.

oldgraphs.jl

Working with graphs in Julia

opengm

A C++ Library for Discrete Graphical Models

performance-prediction-with-wearable-tech-data

analyze data from accelerometers placed on the belt, forearm, arm, and dumbbell of six participants. These individuals were tasked with executing barbell lifts, both correctly and incorrectly, in five distinct manners