Python TrainingPython training for business analysts and traders
Stars: ✭ 972 (+1004.55%)
VirgilioVirgilio is developed and maintained by these awesome people.
You can email us virgilio.datascience (at) gmail.com or join the Discord chat.
Stars: ✭ 13,200 (+14900%)
Spark R Notebooks R on Apache Spark (SparkR) tutorials for Big Data analysis and Machine Learning as IPython / Jupyter notebooks
Stars: ✭ 109 (+23.86%)
Juniper🍇 Edit and execute code snippets in the browser using Jupyter kernels
Stars: ✭ 189 (+114.77%)
Business Machine LearningA curated list of practical business machine learning (BML) and business data science (BDS) applications for Accounting, Customer, Employee, Legal, Management and Operations (by @firmai)
Stars: ✭ 575 (+553.41%)
Cookbook 2ndIPython Cookbook, Second Edition, by Cyrille Rossant, Packt Publishing 2018
Stars: ✭ 704 (+700%)
LearnpythonforresearchThis repository provides everything you need to get started with Python for (social science) research.
Stars: ✭ 163 (+85.23%)
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?🔋
Stars: ✭ 171 (+94.32%)
Cookbook 2nd CodeCode of the IPython Cookbook, Second Edition, by Cyrille Rossant, Packt Publishing 2018 [read-only repository]
Stars: ✭ 541 (+514.77%)
Quantitative NotebooksEducational notebooks on quantitative finance, algorithmic trading, financial modelling and investment strategy
Stars: ✭ 356 (+304.55%)
Fastai2Temporary home for fastai v2 while it's being developed
Stars: ✭ 630 (+615.91%)
Python For Data ScienceA collection of Jupyter Notebooks for learning Python for Data Science.
Stars: ✭ 205 (+132.95%)
Data Science Your WayWays of doing Data Science Engineering and Machine Learning in R and Python
Stars: ✭ 530 (+502.27%)
Crime AnalysisAssociation Rule Mining from Spatial Data for Crime Analysis
Stars: ✭ 20 (-77.27%)
Ten Rules JupyterTen Simple Rules for Writing and Sharing Computational Analyses in Jupyter Notebooks
Stars: ✭ 204 (+131.82%)
Ppd599USC urban data science course series with Python and Jupyter
Stars: ✭ 1,062 (+1106.82%)
Data Science Stack Cookiecutter🐳📊🤓Cookiecutter template to launch an awesome dockerized Data Science toolstack (incl. Jupyster, Superset, Postgres, Minio, AirFlow & API Star)
Stars: ✭ 153 (+73.86%)
Lets Plot KotlinKotlin API for Lets-Plot - an open-source plotting library for statistical data.
Stars: ✭ 181 (+105.68%)
CodeCompilation of R and Python programming codes on the Data Professor YouTube channel.
Stars: ✭ 287 (+226.14%)
Intro To PythonAn intro to Python & programming for wanna-be data scientists
Stars: ✭ 536 (+509.09%)
Pandas ProfilingCreate HTML profiling reports from pandas DataFrame objects
Stars: ✭ 8,329 (+9364.77%)
Covid19 DashboardA site that displays up to date COVID-19 stats, powered by fastpages.
Stars: ✭ 1,212 (+1277.27%)
TensorwatchDebugging, monitoring and visualization for Python Machine Learning and Data Science
Stars: ✭ 3,191 (+3526.14%)
GophernotesThe Go kernel for Jupyter notebooks and nteract.
Stars: ✭ 3,100 (+3422.73%)
Or Pandas【运筹OR帷幄|数据科学】pandas教程系列电子书
Stars: ✭ 492 (+459.09%)
Industry Machine LearningA curated list of applied machine learning and data science notebooks and libraries across different industries (by @firmai)
Stars: ✭ 6,077 (+6805.68%)
Datastream.ioAn open-source framework for real-time anomaly detection using Python, ElasticSearch and Kibana
Stars: ✭ 814 (+825%)
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 (+2.27%)
Helm ChartA store of Helm chart tarballs for deploying JupyterHub and BinderHub on a Kubernetes cluster
Stars: ✭ 123 (+39.77%)
Ml Workspace🛠 All-in-one web-based IDE specialized for machine learning and data science.
Stars: ✭ 2,337 (+2555.68%)
Beyond Jupyter🐍💻📊 All material from the PyCon.DE 2018 Talk "Beyond Jupyter Notebooks - Building your own data science platform with Python & Docker" (incl. Slides, Video, Udemy MOOC & other References)
Stars: ✭ 135 (+53.41%)
Nb2xlsConvert Jupyter notebook to Excel spreadsheet
Stars: ✭ 129 (+46.59%)
Ocaml JupyterAn OCaml kernel for Jupyter (IPython) notebook
Stars: ✭ 177 (+101.14%)
100 Days Of Ml CodeA day to day plan for this challenge. Covers both theoritical and practical aspects
Stars: ✭ 172 (+95.45%)
FastpagesAn easy to use blogging platform, with enhanced support for Jupyter Notebooks.
Stars: ✭ 2,888 (+3181.82%)
Nteract📘 The interactive computing suite for you! ✨
Stars: ✭ 5,713 (+6392.05%)
MachinelearningcourseA collection of notebooks of my Machine Learning class written in python 3
Stars: ✭ 35 (-60.23%)
JupytemplateTemplates for jupyter notebooks
Stars: ✭ 85 (-3.41%)
Dashboards[RETIRED] See Voilà as a supported replacement
Stars: ✭ 986 (+1020.45%)
Optimus🚚 Agile Data Preparation Workflows made easy with dask, cudf, dask_cudf and pyspark
Stars: ✭ 986 (+1020.45%)
PixiedustPython Helper library for Jupyter Notebooks
Stars: ✭ 998 (+1034.09%)
Mlj.jlA Julia machine learning framework
Stars: ✭ 982 (+1015.91%)
Computer VisionComputer vision sabbatical study materials
Stars: ✭ 39 (-55.68%)
NbgraderA system for assigning and grading notebooks
Stars: ✭ 1,000 (+1036.36%)
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.
Stars: ✭ 42 (-52.27%)
Ds Take HomeMy solution to the book A Collection of Data Science Take-Home Challenges
Stars: ✭ 1,004 (+1040.91%)
Computervision RecipesBest Practices, code samples, and documentation for Computer Vision.
Stars: ✭ 8,214 (+9234.09%)
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
Stars: ✭ 49 (-44.32%)
OctopodTrain multi-task image, text, or ensemble (image + text) models
Stars: ✭ 36 (-59.09%)
PraatscriptsThese are praat scripts I use in my research, implemented in parselmouth for python for use in binder
Stars: ✭ 40 (-54.55%)
PresentationsTalks & Workshops by the CODAIT team
Stars: ✭ 50 (-43.18%)
25daysinmachinelearningI will update this repository to learn Machine learning with python with statistics content and materials
Stars: ✭ 53 (-39.77%)