hyoseok-bang Goto Github PK
Name: Hyoseok-Bang
Type: User
Bio: Data Scientist Have a passion for mining values from data
Location: Seoul, South Korea
Name: Hyoseok-Bang
Type: User
Bio: Data Scientist Have a passion for mining values from data
Location: Seoul, South Korea
유니티 5 교과서
Data from the online game Axon and code for for analysing it
Practice Azure Machine Learning
Bayesian Data Analysis course at Aalto
Computer Vision Projects
Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1
DataCamp Facebook Live Code Along Session 1: Enjoy.
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Doing Bayesian Data Analysis, 2nd Edition (Kruschke, 2015): Python/PyMC3 code
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
Deep Learning
TensorFlow Basic Tutorial Labs
Example code for the book Fluent Python
Hands on Markov Models with Python, published by Packt
:triangular_ruler: Jekyll theme for building a personal site, blog, project documentation, or portfolio.
Python notebooks with ML and deep learning examples with Azure Machine Learning | Microsoft
Python/STAN Implementation of Multiplicative Marketing Mix Model, with deep dive into Adstock (carry-over effect), ROAS, and mROAS
Implementation of a neural net. There are three major functions used in this program: Compute_cost: Implement forward propagation in this method and then calculate the cross-entropy loss to determine the cost of the neural net. Predict: Implement forward propagation to make a prediction based on current model parameters. Fit:. Using the method discussed in the article "Implementing a Neural Network from Scratch in Python: An Introduction", implement a good fit function using forward propagation, back propagation, and updating the model parameters by using gradients.
Online Course of Time Series Analysis
청와대 국민청원 데이터
Codes for practicing concepts of data mining, probability, and machine learning
The course materials for using psychopy for psychophysics and neuroscience.
Numba GPU tutorial notebooks for PyData Amsterdam 2019
tutorials and notebooks on using python where excel fails or in combination with excel
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.