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approachingalmost

Approaching (Almost) Any Machine Learning Problem

awesome-datascience

:memo: An awesome Data Science repository to learn and apply for real world problems.

awesome-machine-learning

A curated list of awesome Machine Learning frameworks, libraries and software.

awesome-production-machine-learning

A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning

bayesnote

A frictionless integrated platform for notebook

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.

cookiecutter-data-science

A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.

credit_score

data from the kaggle 'give me some credit" competition

data-science-best-resources

Carefully curated resource links for data science in one place

data-science-portfolio

Portfolio of data science projects completed by me for academic, self learning, and hobby purposes.

dive-into-machine-learning

Dive into Machine Learning with Python Jupyter notebook and scikit-learn!

ds-cheatsheets

List of Data Science Cheatsheets to rule the world

easy-application

Over 400 software engineering companies that are easy to apply to

explainerdashboard

Quickly build Explainable AI dashboards that show the inner workings of so-called "blackbox" machine learning models.

finrl-library

A Deep Reinforcement Learning Library for Automated Trading in Quantitative Finance. NeurIPS 2020. Please star. 🔥

fklearn

fklearn: Functional Machine Learning

hummingbird

Hummingbird compiles trained ML models into tensor computation for faster inference.

hungabunga

HungaBunga: Brute-Force all sklearn models with all parameters using .fit .predict!

interpret

Fit interpretable models. Explain blackbox machine learning.

learn_machine_learning

My Road to Machine Learning

lightgbm

A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.

machine-learning-portfolio

Machine learning portfolio

machine-learning-roadmap

A roadmap connecting many of the most important concepts in machine learning, how to learn them and what tools to use to perform them.

mdrepo

Repositório para armazenamento de código e notebooks de postagens do blog e cursos.

mlfinlab

MlFinLab helps portfolio managers and traders who want to leverage the power of machine learning by providing reproducible, interpretable, and easy to use tools.

mlops-python

mlops_roadmap_and_curriculum

Curriculum and roadmap from 0 to Mastery for MLOps. Adding value to your machine learning model by deploying it for people to use it to solve real life problems

mlopspython

MLOps using Azure ML Services and Azure DevOps

mydatascienceportfolio

Applying Data Science and Machine Learning to Solve Real World Business Problems

open-product-management

A curated list of product management advice for technical people.