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.

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).

Practical Machine Learning with TensorFlow 2.0

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

Coursera Peer-graded Assignment

Practical machine learning (open classes)

Practical Machine Learning

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

Machine Learning blogs

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

Files from the Practical Machine Learning on H2O course on Coursera