Stability Selectionscikit-learn compatible implementation of stability selection.
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SagifyMLOps for AWS SageMaker. www.sagifyml.com
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mlhandbookMy textbook for teaching Machine Learning
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NimbusmlPython machine learning package providing simple interoperability between ML.NET and scikit-learn components.
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Scikit OptimizeSequential model-based optimization with a `scipy.optimize` interface
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Statistical-Learning-using-RThis is a Statistical Learning application which will consist of various Machine Learning algorithms and their implementation in R done by me and their in depth interpretation.Documents and reports related to the below mentioned techniques can be found on my Rpubs profile.
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resume tailorAn unsupervised analysis combining topic modeling and clustering to preserve an individuals work history and credentials while tailoring their resume towards a new career field
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feature engineFeature engineering package with sklearn like functionality
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handson-ml도서 "핸즈온 머신러닝"의 예제와 연습문제를 담은 주피터 노트북입니다.
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AIPortfolioUse AI to generate a optimized stock portfolio
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PymoA library for machine learning research on motion capture data
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linear-treeA python library to build Model Trees with Linear Models at the leaves.
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KmodesPython implementations of the k-modes and k-prototypes clustering algorithms, for clustering categorical data
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issue-trackingQuestions, Help, and Issues for Comet ML
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M2cgenTransform ML models into a native code (Java, C, Python, Go, JavaScript, Visual Basic, C#, R, PowerShell, PHP, Dart, Haskell, Ruby, F#, Rust) with zero dependencies
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chartsHelm charts for creating reproducible and maintainable deployments of Polyaxon with Kubernetes.
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frovedisFramework of vectorized and distributed data analytics
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kmeans1d⭐ A Python package for optimal 1D k-means clustering.
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DataSciPyData Science with Python
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BM25Transformer(Python) transform a document-term matrix to an Okapi/BM25 representation
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Practical Machine Learning With PythonMaster the essential skills needed to recognize and solve complex real-world problems with Machine Learning and Deep Learning by leveraging the highly popular Python Machine Learning Eco-system.
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polystoresA library for performing hyperparameter optimization
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scitimeTraining time estimation for scikit-learn algorithms
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Machine-LearningThe projects I do in Machine Learning with PyTorch, keras, Tensorflow, scikit learn and Python.
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jekyll-ipython-markdownbuild process for turning ipython notebooks into markdown files for your jekyll blog
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Hep mlMachine Learning for High Energy Physics.
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explainyexplainy is a Python library for generating machine learning model explanations for humans
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textlyticsText processing library for sentiment analysis and related tasks
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NyokaNyoka is a Python library to export ML/DL models into PMML (PMML 4.4.1 Standard).
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nbmergeA tool to merge / concatenate Jupyter (IPython) notebooks
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Machine Learning With PythonSmall scale machine learning projects to understand the core concepts . Give a Star 🌟If it helps you. BONUS: Interview Bank coming up..!
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object detectorObject detector from HOG + Linear SVM framework
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PbpythonCode, Notebooks and Examples from Practical Business Python
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scikit-learn-intelexIntel(R) Extension for Scikit-learn is a seamless way to speed up your Scikit-learn application
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sklearn-audio-classificationAn in-depth analysis of audio classification on the RAVDESS dataset. Feature engineering, hyperparameter optimization, model evaluation, and cross-validation with a variety of ML techniques and MLP
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Amazing Feature EngineeringFeature engineering is the process of using domain knowledge to extract features from raw data via data mining techniques. These features can be used to improve the performance of machine learning algorithms. Feature engineering can be considered as applied machine learning itself.
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OnnxOpen standard for machine learning interoperability
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GemelloNo description or website provided.
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