Sigma coding youtubeThis is a collection of all the code that can be found on my YouTube channel Sigma Coding.
Stars: ✭ 611 (+683.33%)
Fastai2Temporary home for fastai v2 while it's being developed
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Datasets For Recommender SystemsThis is a repository of a topic-centric public data sources in high quality for Recommender Systems (RS)
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TsfreshAutomatic extraction of relevant features from time series:
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Nteract📘 The interactive computing suite for you! ✨
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Cookbook 2ndIPython Cookbook, Second Edition, by Cyrille Rossant, Packt Publishing 2018
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H1stThe AI Application Platform We All Need. Human AND Machine Intelligence. Based on experience building AI solutions at Panasonic: robotics predictive maintenance, cold-chain energy optimization, Gigafactory battery mfg, avionics, automotive cybersecurity, and more.
Stars: ✭ 697 (+793.59%)
Data Science PortfolioPortfolio of data science projects completed by me for academic, self learning, and hobby purposes.
Stars: ✭ 559 (+616.67%)
Ilearndeeplearning.pyThis repository contains small projects related to Neural Networks and Deep Learning in general. Subjects are closely linekd with articles I publish on Medium. I encourage you both to read as well as to check how the code works in the action.
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SkdataPython tools for data analysis
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Basic reinforcement learningAn introductory series to Reinforcement Learning (RL) with comprehensive step-by-step tutorials.
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MdsModern Data Science
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MachinelearningMachine learning algorithms implemented by pure numpy
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LambdaschooldatascienceCompleted assignments and coding challenges from the Lambda School Data Science program.
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SkydetectorA Python implementation of Sky Region Detection in a Single Image for Autonomous Ground Robot Navigation (Shen and Wang, 2013)
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NotebooksLearn Python for free using open-source notebooks in Hebrew.
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ResourcesPyMC3 educational resources
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Data Science On GcpSource code accompanying book: Data Science on the Google Cloud Platform, Valliappa Lakshmanan, O'Reilly 2017
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Pandas ProfilingCreate HTML profiling reports from pandas DataFrame objects
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Intro PythonPython pour Statistique et Science des Données -- Syntaxe, Trafic de Données, Graphes, Programmation, Apprentissage
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Crime AnalysisAssociation Rule Mining from Spatial Data for Crime Analysis
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PythondatasciencehandbookThe book was written and tested with Python 3.5, though other Python versions (including Python 2.7) should work in nearly all cases.
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CourseraQuiz & Assignment of Coursera
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R NotesNotes for using R language to do data mining and machine learning (Chinese)
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TutorialsA project for developing tutorials for Streams
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ShadowmusicA temporal music synthesizer
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Mlnet WorkshopML.NET Workshop to predict car sales prices
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Python TrainingPython training for business analysts and traders
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Mlcourse.aiOpen Machine Learning Course
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Mlj.jlA Julia machine learning framework
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Opencv TutorialsTutorials for learning OpenCV in Python from Scratch
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Face Mask DetectionFace masks are crucial in minimizing the propagation of Covid-19, and are highly recommended or even obligatory in many situations. In this project, we develop a pipeline to detect unmasked faces in images. This can, for example, be used to alert people that do not wear a mask when entering a building.
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PixiedustPython Helper library for Jupyter Notebooks
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Optimus🚚 Agile Data Preparation Workflows made easy with dask, cudf, dask_cudf and pyspark
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Docker Iocaml DatascienceDockerfile of Jupyter (IPython notebook) and IOCaml (OCaml kernel) with libraries for data science and machine learning
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Ds Take HomeMy solution to the book A Collection of Data Science Take-Home Challenges
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Machine Learning From ScratchSuccinct Machine Learning algorithm implementations from scratch in Python, solving real-world problems (Notebooks and Book). Examples of Logistic Regression, Linear Regression, Decision Trees, K-means clustering, Sentiment Analysis, Recommender Systems, Neural Networks and Reinforcement Learning.
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Mckinsey Smartcities Traffic PredictionAdventure into using multi attention recurrent neural networks for time-series (city traffic) for the 2017-11-18 McKinsey IronMan (24h non-stop) prediction challenge
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PresentationsTalks & Workshops by the CODAIT team
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