firmai/industry-machine-learning

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

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alirezadir/Production-Level-Deep-Learning

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

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firmai/python-business-analytics

Python solutions to solve practical business problems.

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firmai/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)

Language: Jupyter Notebook - Size: 384 KB - Last synced: about 1 month ago - Pushed: over 2 years ago - Stars: 756 - Forks: 222

codingforentrepreneurs/Notebooks

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

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vikaskumareinstein/ml-algo

Machine Learning blogs

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mztrk/Coursera-PracticalMachineLearning

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dasimagin/PML 📦

Practical machine learning (open classes)

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oleges1/PML

Practical Machine Learning

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oskar-j/awesome-text-ml

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

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SayarGitHub/practical-machine-learning

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

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aakhundov/sequence-labeling

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

Language: Python - Size: 2.81 MB - Last synced: about 1 year ago - Pushed: over 5 years ago - Stars: 6 - Forks: 2

sparsh2002/MLmodels

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srakrn/cpe-ml-intro

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

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mattborghi/practical-data-science-specialization

Practical Data Science Specialization Coursera

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aurelio-amerio/kaggle-higgs-challenge

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

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szelor/practical-machine-learning

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

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gmgyan/Personal-Activity-Predictor

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

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Frizzles7/PracticalMLonH2O

Files from the Practical Machine Learning on H2O course on Coursera

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apietrelli/Practical-machine-learning

Coursera Peer-graded Assignment

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