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

A guideline for building practical production-level deep learning systems to be deployed in real world applications.

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)

Python solutions to solve practical business problems.

Various notebooks we're working on from either our blog cfe.sh/blog or as general research.

A curated list of ML awesome frameworks & libraries for text data

Data and examples that support the material in the book "Praktyczne uczenie maszynowe"

Accompanying repository of our NLP paper "Sequence Labeling: A Practical Approach" (arXiv: 1808.03926).

Materials on Machine Learning for Department of Computer Engineering, Kasetsart University.

Kaggle Higgs challenge submission for the Practical Machine Learning course at QMUL, week 3

Practical as well as pure Python implementation of popular Machine Learning algorithms

The goal of this project is to use data from accelerometers on the belt, forearm, arm, and dumbbell of 6 participants to predict the manner in which they did the exercise

Files from the Practical Machine Learning on H2O course on Coursera

Practical Data Science Specialization Coursera

Coursera Peer-graded Assignment

I have created this repository to store projects I am doing as a student at Natural Language Processing Master's degree at University of Bucharest

Personal Large Language Models(LLMs) projects, particularly related to open-source models. These projects encompass frameworks for LLM training, deployment tools, tutorials, and practical applications.

Practical machine learning (open classes)