Runtime Terror's starred repositories
fpp3-python-readalong
Python-centered read-along of Forecasting: Principles and Practice
Awesome-LLMOps
An awesome & curated list of best LLMOps tools for developers
EPFL-Time-Series
MATH-342 Time Series course taken at EPFL during Spring 17-18.
NIFTY-Share-Market-Price-Prediction
Time series analysis on NIFTY data ( bank,oil,metal,it ) using GARCH model in R.
Time-Series-Analysis
Learned time series analysis from Quantstart
BitcoinGARCH
Project in Statistics: Timeseries analysis (STAH14) at Lund University. The project it about Bitcoin price and returns, modelled using an AR-GARCH model.
market_linkages_mgarch-bekk
Study on volatility transmission and protuberance among developed and developing stock markets using multivariate GARCH
VBA_Time_Series
Unit root tests, ARIMAX, GARCH models for the time being
Time_Series_ARIMA-GARCH
In this project, this research generally investigates the financial time series such as the price & return of NASDAQ Composite Index using ARIMA and GARCH methods.
Value-at-Risk-VaR-Based-on-Historical-Simulation-in-Conjunction-with-GARCH-Model
Python code for rolling Value at Risk(VaR) of fiancial assets and some of economic time series, based on the procedure proposed by Hull & White(1998).
ARMA-GARCH-Model
A stock price prediction model based on ARMA and GARCH
time-series-analysis
使用经典的AR、MA、ARMA、ARIMA、ARCH、GARCH时间序列模型进行模型的检验和拟合。The classic AR, MA, ARMA, ARIMA, ARCH, GARCH time series models are used to test and predict the model.
forecasting-realized-volatility-using-supervised-learning
Traditionally, volatility is modeled using parametric models. This project focuses on predicting EUR/USD volatility using more flexible, machine-learning methods.
Applied-Econometric-Time-Series
A repository to explore the concepts of applied econometrics in the context of financial time-series.
garchmodels
The Tidymodels Extension for GARCH models
Time-Series-Analysis-Statistical-Arbitrage
This project used GARCH type models to estimate volatility and used delta hedging method to make a profit.
Neural-Garch-Hybrid-Model-Implementation
By combining GARCH(1,1) and LSTM model implementing predictions.
bitcoin_volatility_forecasting
GARCH and Multivariate LSTM forecasting models for Bitcoin realized volatility with potential applications in crypto options trading, hedging, portfolio management, and risk management
stocks-tweets-project
The project to find correlation between tweets and future stock prices
machine-learning-zoomcamp
Learn ML engineering for free in 4 months!
protein-interaction-network
Computes a molecular graph for protein structures.
awesome-nlp
:book: A curated list of resources dedicated to Natural Language Processing (NLP)
awesome-project-ideas
Curated list of Machine Learning, NLP, Vision, Recommender Systems Project Ideas
Intro-to-ML-with-Tensorflow-ND-Exercises
This repository contains exercises from Udacity's Intro to Machine Learning with Tensorflow Nanodegree.