hyoseok-bang Goto Github PK

006922

유니티 5 교과서

airflow

amss

axongame

Data from the online game Axon and code for for analysing it

azure_practice

Practice Azure Machine Learning

bda_course_aalto

Bayesian Data Analysis course at Aalto

computer_vision

Computer Vision Projects

courses

Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1

datacamp_facebook_live_nlp

DataCamp Facebook Live Code Along Session 1: Enjoy.

datasalon

데이터살롱

dbda-python

Doing Bayesian Data Analysis, 2nd Edition (Kruschke, 2015): Python/PyMC3 code

deep-learning-papers-reading-roadmap

Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!

deep_learning

Deep Learning

deeplearningzerotoall

TensorFlow Basic Tutorial Labs

example-code

Example code for the book Fluent Python

fluentpython

hands-on-markov-models-with-python

Hands on Markov Models with Python, published by Packt

hyoseok-bang.github.io

:triangular_ruler: Jekyll theme for building a personal site, blog, project documentation, or portfolio.

leetcode

machine_learning_for_the_web

machinelearningnotebooks

Python notebooks with ML and deep learning examples with Azure Machine Learning | Microsoft

mmm_stan

Python/STAN Implementation of Multiplicative Marketing Mix Model, with deep dive into Adstock (carry-over effect), ROAS, and mROAS

neural-net

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.

onlinetsa

Online Course of Time Series Analysis

petitions

청와대 국민청원 데이터

practice

Codes for practicing concepts of data mining, probability, and machine learning

psychopy-course

The course materials for using psychopy for psychophysics and neuroscience.

pydata-amsterdam2019-numba

Numba GPU tutorial notebooks for PyData Amsterdam 2019

python_and_excel

tutorials and notebooks on using python where excel fails or in combination with excel

r-codes