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explainyexplainy is a Python library for generating machine learning model explanations for humans
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abessFast Best-Subset Selection Library
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object detectorObject detector from HOG + Linear SVM framework
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handson-ml2핸즈온 머신러닝 2/E의 주피터 노트북
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converseConversational text Analysis using various NLP techniques
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ML-For-Beginners12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
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ETL-Starter-Kit📁 Extract, Transform, Load (ETL) 👷 refers to a process in database usage and especially in data warehousing. This repository contains a starter kit featuring ETL related work.
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textlyticsText processing library for sentiment analysis and related tasks
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osprey🦅Hyperparameter optimization for machine learning pipelines 🦅
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doubleml-for-pyDoubleML - Double Machine Learning in Python
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five-minute-midasPredicting Profitable Day Trading Positions using Decision Tree Classifiers. scikit-learn | Flask | SQLite3 | pandas | MLflow | Heroku | Streamlit
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Python-Machine-Learning-FundamentalsD-Lab's 6 hour introduction to machine learning in Python. Learn how to perform classification, regression, clustering, and do model selection using scikit-learn and TPOT.
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mloperatorMachine Learning Operator & Controller for Kubernetes
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sklearn-oblique-treea python interface to OC1 and other oblique decision tree implementations
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pyclustertendA python package to assess cluster tendency
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polystoresA library for performing hyperparameter optimization
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