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Har Keras CoremlHuman Activity Recognition (HAR) with Keras and CoreML
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TsfreshAutomatic extraction of relevant features from time series:
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PixiedustPython Helper library for Jupyter Notebooks
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FeatexpFeature exploration for supervised learning
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SkdataPython tools for data analysis
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Python for mlbrief introduction to Python for machine learning
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Speech Emotion AnalyzerThe neural network model is capable of detecting five different male/female emotions from audio speeches. (Deep Learning, NLP, Python)
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Ppd599USC urban data science course series with Python and Jupyter
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Zero To Mastery MlAll course materials for the Zero to Mastery Machine Learning and Data Science course.
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Machine learning refinedNotes, examples, and Python demos for the textbook "Machine Learning Refined" (published by Cambridge University Press).
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CourseraQuiz & Assignment of Coursera
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Cookbook 2ndIPython Cookbook, Second Edition, by Cyrille Rossant, Packt Publishing 2018
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Crime AnalysisAssociation Rule Mining from Spatial Data for Crime Analysis
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Intro PythonPython pour Statistique et Science des Données -- Syntaxe, Trafic de Données, Graphes, Programmation, Apprentissage
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Mlj.jlA Julia machine learning framework
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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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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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Fastai2Temporary home for fastai v2 while it's being developed
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H2o 3H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.
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Nteract📘 The interactive computing suite for you! ✨
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Sigma coding youtubeThis is a collection of all the code that can be found on my YouTube channel Sigma Coding.
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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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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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Hitchhikers GuideThe Hitchhiker's Guide to Data Science for Social Good
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Industry Machine LearningA curated list of applied machine learning and data science notebooks and libraries across different industries (by @firmai)
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LambdaschooldatascienceCompleted assignments and coding challenges from the Lambda School Data Science program.
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MdsModern Data Science
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Pandas ProfilingCreate HTML profiling reports from pandas DataFrame objects
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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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Mlnet WorkshopML.NET Workshop to predict car sales prices
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Awesome Google ColabGoogle Colaboratory Notebooks and Repositories (by @firmai)
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MachinelearningcourseA collection of notebooks of my Machine Learning class written in python 3
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Python TrainingPython training for business analysts and traders
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Optimus🚚 Agile Data Preparation Workflows made easy with dask, cudf, dask_cudf and pyspark
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ResourcesPyMC3 educational resources
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Computervision RecipesBest Practices, code samples, and documentation for Computer Vision.
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Numerical Linear AlgebraFree online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course
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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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Data Science PortfolioPortfolio of data science projects completed by me for academic, self learning, and hobby purposes.
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Ds Take HomeMy solution to the book A Collection of Data Science Take-Home Challenges
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25daysinmachinelearningI will update this repository to learn Machine learning with python with statistics content and materials
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