nickwalker037 Goto Github PK
Name: Nick Walker
Type: User
Name: Nick Walker
Type: User
Analysis of breast cancer data published by the University of Wisconsin in order to predict benign vs malignant tumors based on tumor attributes. The dataset can be found at the following link: https://archive.ics.uci.edu/ml/datasets/Breast+Cancer+Wisconsin+%28Original%29
Movie recommendation system built using a Restricted Boltzman Machine based Collaborative Filtering method
Code from the University of Washington's Computational Neuroscience course via Coursera: https://www.coursera.org/learn/computational-neuroscience
Using undersampling techniques and logistic regression in order to predict credit card fraud. Kernel for the Kaggle dataset "Credit Card Fraud Detection"
:bar_chart: Path to a free self-taught education in Data Science!
Code from the book "Data Science From Scratch: First Principles with Python" by Joel Grus
Code and Projects associated with IBM's Deep Learning Certification via edX
Various simple and advanced regression models to develop forecasts of economic activity, to estimate limited dependent variable and simultaneous equation models, and to model time-series processes.
Hyperledger Fabric is an enterprise-grade permissioned distributed ledger framework for developing solutions and applications. Its modular and versatile design satisfies a broad range of industry use cases. It offers a unique approach to consensus that enables performance at scale while preserving privacy.
This calculates the future value of an investment based on a user specified initial value, interest rate, number of periods, and compounding frequency
Artificial Intelligence For Robotics
Analysis to predict how many days a patient will spend in a hospital in the next year in order to predict and prevent unnecessary hospitalizations
Code submission for the Kaggle contest "House Prices: Advanced Regression Techniques"
Notes and code examples from the Lynda.com course "Introduction to Data Analysis with Python"
This repo contains notes and code examples from the book "Introduction to Algorithms, 3rd Edition" by Thomas Cormen and others
KNN Analysis of the Loan Prediction III Problem from Anaytics Vidha. Hackathon can be found at the following link: https://datahack.analyticsvidhya.com/contest/practice-problem-loan-prediction-iii/
LSTM RNN Model on the Penn Treebank dataset to predict the next word in a sentence
Emulator for rapid prototyping of Software Defined Networks
Analysis of MNIST dataset, with a goal to use Convolutional Neural Networks to correctly identify digits from a dataset of tens of thousands of handwritten images
This contains various ML Practice Problems using Sci-kit Learn in Python
Various projects and practice focused on semantic analysis including Topic Modeling and Latent Dirichlet Allocation Models
Smart contract development using solidity online documentation
Code from the edX certification Sparse Representations in Signal and Image Processing
R Shiny dashboard displaying reactive graphs on U.S. nutrition data for high school students and adults in the years 2013 and 2015.
This calculates the average monthly payment for a 30 year variable interest rate mortgage using a solver macro in VBA
Various Web Scrapers built using Selenium in Python
Visualizations of various world development indicators using ggplot2 and maps packages in R
yellowdoorsalon website
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.