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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Ml Workspace🛠 All-in-one web-based IDE specialized for machine learning and data science.
Stars: ✭ 2,337 (-78.38%)
Spark Py NotebooksApache Spark & Python (pySpark) tutorials for Big Data Analysis and Machine Learning as IPython / Jupyter notebooks
Stars: ✭ 1,338 (-87.62%)
Machine Learning With PythonPractice and tutorial-style notebooks covering wide variety of machine learning techniques
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ImodelsInterpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).
Stars: ✭ 194 (-98.21%)
Sci PypeA Machine Learning API with native redis caching and export + import using S3. Analyze entire datasets using an API for building, training, testing, analyzing, extracting, importing, and archiving. This repository can run from a docker container or from the repository.
Stars: ✭ 90 (-99.17%)
NotebooksLearn Python for free using open-source notebooks in Hebrew.
Stars: ✭ 877 (-91.89%)
Data Science PortfolioPortfolio of data science projects completed by me for academic, self learning, and hobby purposes.
Stars: ✭ 559 (-94.83%)
Data Science LearningRepository of code and resources related to different data science and machine learning topics. For learning, practice and teaching purposes.
Stars: ✭ 273 (-97.47%)
Sklearn EvaluationMachine learning model evaluation made easy: plots, tables, HTML reports, experiment tracking and Jupyter notebook analysis.
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Python for mlbrief introduction to Python for machine learning
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Crime AnalysisAssociation Rule Mining from Spatial Data for Crime Analysis
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TutorialsAll of the code for my Medium articles
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Pymc Example ProjectExample PyMC3 project for performing Bayesian data analysis using a probabilistic programming approach to machine learning.
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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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ThesemicolonThis repository contains Ipython notebooks and datasets for the data analytics youtube tutorials on The Semicolon.
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CodeCompilation of R and Python programming codes on the Data Professor YouTube channel.
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MachinelearningcourseA collection of notebooks of my Machine Learning class written in python 3
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NotebooksA collection of Jupyter/IPython notebooks
Stars: ✭ 78 (-99.28%)
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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Eli5A library for debugging/inspecting machine learning classifiers and explaining their predictions
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Scikit Learn VideosJupyter notebooks from the scikit-learn video series
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Data Science Resources👨🏽🏫You can learn about what data science is and why it's important in today's modern world. Are you interested in data science?🔋
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Dat8General Assembly's 2015 Data Science course in Washington, DC
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Learning pythonSource material for Python Like You Mean it
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PhormaticsUsing A.I. and computer vision to build a virtual personal fitness trainer. (Most Startup-Viable Hack - HackNYU2018)
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Covid19 DashboardA site that displays up to date COVID-19 stats, powered by fastpages.
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Openml RR package to interface with OpenML
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React Chat⚛️ Chat application for DogeCodes React course
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XcessivA web-based application for quick, scalable, and automated hyperparameter tuning and stacked ensembling in Python.
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JupytemplateTemplates for jupyter notebooks
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Kaggle CompetitionsThere are plenty of courses and tutorials that can help you learn machine learning from scratch but here in GitHub, I want to solve some Kaggle competitions as a comprehensive workflow with python packages. After reading, you can use this workflow to solve other real problems and use it as a template.
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Knet.jlKoç University deep learning framework.
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Deeplearning2020course materials for introduction to deep learning 2020
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H2o TutorialsTutorials and training material for the H2O Machine Learning Platform
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MachinelearningA repo with tutorials for algorithms from scratch
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My Own KindBuild a verifiably conformant kubernetes cluster in containers.
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Ds With PysimpleguiData science and Machine Learning GUI programs/ desktop apps with PySimpleGUI package
Stars: ✭ 93 (-99.14%)