Mljar SupervisedAutomated Machine Learning Pipeline with Feature Engineering and Hyper-Parameters Tuning 🚀
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Data Science PortfolioPortfolio of data science projects completed by me for academic, self learning, and hobby purposes.
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TpotA Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
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PalladiumFramework for setting up predictive analytics services
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LaleLibrary for Semi-Automated Data Science
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Model Describermodel-describer : Making machine learning interpretable to humans
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SktimeA unified framework for machine learning with time series
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Crime AnalysisAssociation Rule Mining from Spatial Data for Crime Analysis
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SkootA package for data science practitioners. This library implements a number of helpful, common data transformations with a scikit-learn friendly interface in an effort to expedite the modeling process.
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Mlcourse.aiOpen Machine Learning Course
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XcessivA web-based application for quick, scalable, and automated hyperparameter tuning and stacked ensembling in Python.
Stars: ✭ 1,255 (+119.02%)
Pymc Example ProjectExample PyMC3 project for performing Bayesian data analysis using a probabilistic programming approach to machine learning.
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Qlik Py ToolsData Science algorithms for Qlik implemented as a Python Server Side Extension (SSE).
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VirgilioVirgilio is developed and maintained by these awesome people.
You can email us virgilio.datascience (at) gmail.com or join the Discord chat.
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ImodelsInterpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).
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Orange3🍊 📊 💡 Orange: Interactive data analysis
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Eli5A library for debugging/inspecting machine learning classifiers and explaining their predictions
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Sklearn EvaluationMachine learning model evaluation made easy: plots, tables, HTML reports, experiment tracking and Jupyter notebook analysis.
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Scikit Learn VideosJupyter notebooks from the scikit-learn video series
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Data Science Ipython NotebooksData science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
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FoxcrossAsyncIO serving for data science models
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Python for mlbrief introduction to Python for machine learning
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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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Sklearn PorterTranspile trained scikit-learn estimators to C, Java, JavaScript and others.
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MachinelearningcourseA collection of notebooks of my Machine Learning class written in python 3
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Ds and ml projectsData Science & Machine Learning projects and tutorials in python from beginner to advanced level.
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Hyperlearn50% faster, 50% less RAM Machine Learning. Numba rewritten Sklearn. SVD, NNMF, PCA, LinearReg, RidgeReg, Randomized, Truncated SVD/PCA, CSR Matrices all 50+% faster
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Dat8General Assembly's 2015 Data Science course in Washington, DC
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Dive Into Machine LearningDive into Machine Learning with Python Jupyter notebook and scikit-learn! First posted in 2016, maintained as of 2021. Pull requests welcome.
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Auto ml[UNMAINTAINED] Automated machine learning for analytics & production
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Best Of Ml Python🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.
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HyperactiveA hyperparameter optimization and data collection toolbox for convenient and fast prototyping of machine-learning models.
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Scikit PlotAn intuitive library to add plotting functionality to scikit-learn objects.
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Machine Learning With PythonPractice and tutorial-style notebooks covering wide variety of machine learning techniques
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Igela delightful machine learning tool that allows you to train, test, and use models without writing code
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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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Sk DistDistributed scikit-learn meta-estimators in PySpark
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Ml Workspace🛠 All-in-one web-based IDE specialized for machine learning and data science.
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AutogluonAutoGluon: AutoML for Text, Image, and Tabular Data
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CodeCompilation of R and Python programming codes on the Data Professor YouTube channel.
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ThesemicolonThis repository contains Ipython notebooks and datasets for the data analytics youtube tutorials on The Semicolon.
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SagifyMLOps for AWS SageMaker. www.sagifyml.com
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FeaturetoolsAn open source python library for automated feature engineering
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Hyperparameter hunterEasy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries
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NimbusmlPython machine learning package providing simple interoperability between ML.NET and scikit-learn components.
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Machinejs[UNMAINTAINED] Automated machine learning- just give it a data file! Check out the production-ready version of this project at ClimbsRocks/auto_ml
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AlphapyAutomated Machine Learning [AutoML] with Python, scikit-learn, Keras, XGBoost, LightGBM, and CatBoost
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