ADSX24

ADSX24's Stars

• microsoft/ML-For-Beginners

  12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all

  Language:HTML71.6k1k13915.3k

• ml-tooling/best-of-ml-python

  🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.

  19.9k429572.7k

• rlabbe/Kalman-and-Bayesian-Filters-in-Python

  Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.

  Language:Jupyter Notebook17.5k4703314.3k

• rmcelreath/stat_rethinking_2023

  Statistical Rethinking Course for Jan-Mar 2023

  Language:R2.3k15015256

• owid/co2-data

  Data on CO2 and greenhouse gas emissions by Our World in Data

  6843622225

• pushpendughosh/Stock-market-forecasting

  Forecasting directional movements of stock prices for intraday trading using LSTM and random forest

  Language:Python462117142

• giuse88/duka

  duka - Dukascopy historical data downloader

  Language:Python3172634135

• jonathancornelissen/highfrequency

  The highfrequency package contains an extensive toolkit for the use of highfrequency financial data in R. It contains functionality to manage, clean and match highfrequency trades and quotes data. Furthermore, it enables users to: calculate easily various liquidity measures, estimate and forecast volatility, and investigate microstructure noise and intraday periodicity.

  Language:R153235264

• andrija-djurovic/adsfcr

  Applied Data Science for Credit Risk

  Language:HTML1127032

• lucabarbaglia/FiGASR

  Lexicon-based Sentiment Analysis for Economic and Financial Applications in R

  Language:Python23407

• VBayesLab/Stochastic-Volatility

  A Matlab Package to implement Bayesian Inference, forecast and simulation for stochastic volatility models including LSTM-SV, SV, etc.

  Language:MATLAB17215

• DavZim/OptionValuation

  A shiny application to explore the basics of option evaluation

  Language:HTML15204

• davidakelley/MFSS

  Mixed Frequency State Space toolbox

  Language:MATLAB145611

• zhangkelly014/Nowcasting

  Key: time series analysis, forecasting of GDP growth, macroeconomic, Kalman-filtering techniques, and a dynamic factor model.

  Language:MATLAB11104

• yxue02/Stock-returns-forecasting-using-Bayesian-methods

  Forecast monthly stock returns by implementing a hidden Markov model with MCMC sampling using

  Language:R6102

• newportquant/MCMC-for-stochastic-volatility

  Stochastic Volatility Estimated by MCMC (Markov Chain Monte Carlo) Method

  Language:MATLAB5101

• anouel/stat-cookbook

  :orange_book: The probability and statistics cookbook

  Language:TeX3000

• notreallyaclue/stockpricedownloader

  Downloads stock prices from google down to intraday (seconds if available) for last 20 days. Uses a list of ticker symbols to batch generate.

  Language:Python1000