Pinned Repositories
Adv_Fin_ML_Exercises
Experimental solutions to selected exercises from the book [Advances in Financial Machine Learning by Marcos Lopez De Prado]
advances_in_financial_machine_learning
Exercises in 'Advances in Financial Machine Learning' by Lopez de Prado
eitm
1. 정책 데이터 기반 키워드 추이 2. 국내외 연구자료 기반 키워드 추이 + 정부 보도자료 기반 EPU
ftrosa
An easy way to extract musical audio features using librosa
meta_labeling_simplified
Machine learning trading method using meta-labeling. You can see the details in 'Advances in Financial Machine Learning' by Lopez de Prado.
mir_kr
음악정보검색 (music information retrieval) 입문 노트북. 책 "Fundamentals of Music Processing", Müller, Meinard 한국어 번역.
policy_download
국내 경제 정책 텍스트 정보 수집 웹크롤링
Technical_Analysis_and_Feature_Engineering
Feature Engineering and Feature Importance in Machine Learning for Financial Markets
Technical_Analysis_Strategies_Cryptocurrency
Different trading strategies using technical analysis. Data: Ethereum/USD 5 minutes bars
trading-rules-using-machine-learning
Machine learning-driven financial trading strategy: momentum prediction, regime detection, and enhanced trading decisions.
jo-cho's Repositories
jo-cho/Technical_Analysis_and_Feature_Engineering
Feature Engineering and Feature Importance in Machine Learning for Financial Markets
jo-cho/trading-rules-using-machine-learning
Machine learning-driven financial trading strategy: momentum prediction, regime detection, and enhanced trading decisions.
jo-cho/Technical_Analysis_Strategies_Cryptocurrency
Different trading strategies using technical analysis. Data: Ethereum/USD 5 minutes bars
jo-cho/meta_labeling_simplified
Machine learning trading method using meta-labeling. You can see the details in 'Advances in Financial Machine Learning' by Lopez de Prado.
jo-cho/mir_kr
음악정보검색 (music information retrieval) 입문 노트북. 책 "Fundamentals of Music Processing", Müller, Meinard 한국어 번역.
jo-cho/advances_in_financial_machine_learning
Exercises in 'Advances in Financial Machine Learning' by Lopez de Prado
jo-cho/ftrosa
An easy way to extract musical audio features using librosa
jo-cho/Adv_Fin_ML_Exercises
Experimental solutions to selected exercises from the book [Advances in Financial Machine Learning by Marcos Lopez De Prado]
jo-cho/eitm
1. 정책 데이터 기반 키워드 추이 2. 국내외 연구자료 기반 키워드 추이 + 정부 보도자료 기반 EPU
jo-cho/genre_classification
musical genre classification with GTZAN, FMA dataset
jo-cho/machine-learning-for-trading
Code for Machine Learning for Algorithmic Trading, 2nd edition.
jo-cho/policy_download
국내 경제 정책 텍스트 정보 수집 웹크롤링
jo-cho/FinBlog
jo-cho/nlp_study
자연어 처리 독학 기록
jo-cho/Causal-Inference-with-Python
아래 레포지토리를 fork하여, 주요내용을 요약하며 독학하고 있습니다.
jo-cho/copula_practice
nevermind me
jo-cho/jo-cho
jo-cho/jo-cho.github.io
website
jo-cho/jukebox
Code for the paper "Jukebox: A Generative Model for Music"
jo-cho/langchain_llm_rag
<랭체인으로 LLM 서비스 만들기> 소스 코드
jo-cho/librosa
Python library for audio and music analysis
jo-cho/MIRBlog
음악정보검색 블로그 템플릿
jo-cho/music_source_separation_literatures
Music source separation literatures
jo-cho/nlp-with-pytorch
<파이토치로 배우는 자연어 처리>(한빛미디어, 2021)의 소스 코드를 위한 저장소입니다.
jo-cho/nlp_with_deep_learning_blog
A modern, high customizable, responsive Jekyll theme for documention with built-in search.
jo-cho/RFCVI_KOSPI
Random Forest based Clustered Variable Importance for predicting KOSPI direction
jo-cho/spotipy
A light weight Python library for the Spotify Web API
jo-cho/systemic_risk
jo-cho/Text-Analytics
Unstructured Data Analysis (Graduate) @Korea University
jo-cho/The_Beatles_Revolver
Music Data Analysis with The Beatles - Revolver