firmai/techniques

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firmai/techniques

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Jupyter Notebook and Python business intelligence tools and techniques. [Raw upload]

industry-machine-learning

A curated list of applied machine learning and data science notebooks and libraries across different industries (by @firmai)

Jupyter Notebook

financial-machine-learning

A curated list of practical financial machine learning tools and applications.

machine-learning-asset-management

Machine Learning in Asset Management (by @firmai)

Jupyter Notebook

awesome-google-colab

Google Colaboratory Notebooks and Repositories (by @firmai)

Jupyter Notebook

data-science-career

Career Resources for Data Science, Machine Learning, Big Data and Business Analytics Career Repository

business-machine-learning

A curated list of practical business machine learning (BML) and business data science (BDS) applications for Accounting, Customer, Employee, Legal, Management and Operations (by @firmai)

Jupyter Notebook

pandapy

PandaPy has the speed of NumPy and the usability of Pandas 10x to 50x faster (by @firmai)

deltapy

DeltaPy - Tabular Data Augmentation (by @firmai)

Jupyter Notebook

atspy

AtsPy: Automated Time Series Models in Python (by @firmai)

pandasvault

Advanced Pandas Vault — Utilities, Functions and Snippets (by @firmai).

python-business-analytics

Python solutions to solve practical business problems.

Jupyter Notebook

datagene

DataGene - Identify How Similar TS Datasets Are to One Another (by @firmai)

Jupyter Notebook

interactive-corporate-report

ICR - Automated and Intelligent Company Report Built in Python (by @firmai)

Jupyter Notebook

tsgan

Time-series Generative Adversarial Networks (fork from the ML-AIM research group on bitbucket))

mtss-gan

MTSS-GAN: Multivariate Time Series Simulation with Generative Adversarial Networks (by @firmai)

scrapers

Scrapers from a project in 2018. Yelp, Spyfu, Similarweb, Morningstar, Linkedin, Instagram, Inside, Glassdoor, Facebook, Eat24, Doordash, Angellist.

ml-fairness-framework

FairPut - Machine Learning Fairness Framework with LightGBM — Explainability, Robustness, Fairness (by @firmai)

Jupyter Notebook

business-analytics-and-mathematics-python-book

Advanced Business Analytics and Mathematics with Python (by @firmai)

business-datasets

A selection of business datasets

firmai.github.io

Open Business Analytics and Data Science Research

python-for-finance

Jupyter Notebook

business-machine-learning-vendors

A directory of the top business machine learning vendors

financial-machine-learning-regulation

A look at regulatory challenges and recommendation in the age of AI. Investigating topics like monopoly formation, machine learning auditability, bias mitigation strategies and automated regulatory monitoring.

firmai

reddit-data-science-project-ideas

Reddit Data Science Project Ideas

simple-machine-learning-glossary

Simple Machine Learning and Data Science Definitions without Copyright

xaib

XAIB - Explainable AI in Business

Jupyter Notebook

quant-finance-seminars

Weekly Quant Finance Seminars

numfin

Numpy for Finance Examples

tflm

Advanced Transformations and Interactions for Linear Models using Hybrid Machine Learning Models and SHapley Additive exPlanations

google-colab-website

FirmAI Labs - World's First Google Colab Website

random-assets

Jupyter Notebook

tabular-data-generators

A Collection of Cross-Sectional and Time-Series Generators

firmai_analytics

datastat

Dataset Statistics to Compare Real or Training Data with Generated or Test Data

financial-pde-discovery

Financial PDE Discovery using Machine Learning

experimental-statistics

A repository of experimental statistical techniques that improve on "well-accepted" solutions.

demo-ml-ai-invest

numfy

Fast Vectorised NumPy Functions for Finance

ffood

FFOOD - Framework for Feature and Observation Outlier Detection using ML-based Residual Analysis Methods

random-assets-two

bit

Forked template from Christoph Molnar, testing out website integration

sov.ai

AI Asset Management Research

admin

contributor

Medium Contributor Guidelines

plotsfinml

fairdata

A Python package that implements model-agnostic pre-and post-processing to mitigate unfairness in machine learning prediction