An open API service providing repository metadata for many open source software ecosystems.

GitHub topics: financial-data-science

enzoampil/fastquant

fastquant — Backtest and optimize your ML trading strategies with only 3 lines of code!

Language: Jupyter Notebook - Size: 47.4 MB - Last synced at: 4 days ago - Pushed at: over 1 year ago - Stars: 1,664 - Forks: 257

Amatofrancesco99/credit-risk-analysis

The aim is to understand which are the key factors for a certain level of credit risk to occur. In addition, some ML models capable to predict the credit risk level for a company in an year - given past years data - have been built and compared.

Language: Jupyter Notebook - Size: 201 MB - Last synced at: 23 days ago - Pushed at: about 2 years ago - Stars: 25 - Forks: 4

IIT-DM/Fin-Fact

A Benchmark Dataset for Multimodal Scientific Fact Checking

Language: Python - Size: 117 MB - Last synced at: 8 months ago - Pushed at: 8 months ago - Stars: 13 - Forks: 2

mpokojovy/CSSC2024

Adaptive Location and Scale Estimation with Kernel Weighted Averages - Technical Appendix and Supplemental R Code for Pokojovy et al (2024) CSSC Paper

Language: R - Size: 6.13 MB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0

prabhupavitra/Data-Visualization-with-R

Data Visualization with R and Python

Language: Jupyter Notebook - Size: 18 MB - Last synced at: about 2 months ago - Pushed at: over 4 years ago - Stars: 3 - Forks: 0

financial-data-science/CFDS

A series of interactive labs we prepared for the Chartered Financial Data Scientist Certification. The content of the series is based on Python, IPython Notebook, and PyTorch.

Language: Jupyter Notebook - Size: 44 MB - Last synced at: over 1 year ago - Pushed at: over 4 years ago - Stars: 49 - Forks: 22

aidanabekboeva/Financial-Data-Science-Predictive-Analysis

This project involves exploratory data analysis and predictive modeling using various statistical and machine learning techniques. In the financial domain, we analyze the Weekly dataset, containing weekly returns spanning two decades. We aim to identify patterns and trends in the data, perform logistic regression, and compare different classificati

Language: R - Size: 273 KB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

financial-data-science/CFDS-Notebooks

A series of interactive labs we prepared for the Chartered Financial Data Scientist Certification. The content of the series is based on Python, IPython Notebook, and PyTorch.

Language: Jupyter Notebook - Size: 36.2 MB - Last synced at: over 1 year ago - Pushed at: almost 4 years ago - Stars: 15 - Forks: 11

GitiHubi/CFDS

A series of interactive labs we prepared for the Chartered Financial Data Scientist Certification. The content of the series is based on Python, IPython Notebook, and PyTorch.

Language: Jupyter Notebook - Size: 44.9 MB - Last synced at: over 1 year ago - Pushed at: over 5 years ago - Stars: 4 - Forks: 6

Killpit/Algotrade-Momentum-Python

Basic algotrading bots with various stocks using Python and Yahoo Finance API with momentum method.

Language: Python - Size: 1.95 KB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0