Alternatives and similar repositories for StartupDataScience

Users that are interested in StartupDataScience are comparing it to the libraries listed below

• bgweber / DS_Production
  ☆155Updated 5 years ago
• khanhnamle1994 / applied-machine-learning
  A step-by-step guide to get started with Applied Machine Learning
  ☆140Updated 7 years ago
• brohrer / academic_advisory
  Collected opinions and advice for academic programs focused on data science skills.
  ☆440Updated 5 years ago
• cs109 / 2018-cs109b
  Harvard CS109b Public Repository
  ☆238Updated 5 years ago
• jphall663 / GWU_data_mining
  Materials for GWU DNSC 6279 and DNSC 6290.
  ☆240Updated 6 months ago
• dziganto / Data_Science_Fundamentals
  ☆101Updated 7 years ago
• amitkaps / full-stack-data-science
  Full Stack Data Science in Python
  ☆257Updated 7 years ago
• kjam / data-cleaning-101
  Data Cleaning Libraries with Python
  ☆288Updated 2 years ago
• FilippoBovo / production-data-science
  Production Data Science: a workflow for collaborative data science aimed at production
  ☆456Updated 5 years ago
• DeltaAnalytics / machine_learning_for_good
  Machine learning fundamentals lesson in interactive notebooks
  ☆180Updated 4 years ago
• amueller / ml-workshop-1-of-4
  Introduction to Machine learning with Python, 4h interactive workshop
  ☆312Updated 5 years ago
• mGalarnyk / Installations_Mac_Ubuntu_Windows
  Installations for Data Science. Anaconda, RStudio, Spark, TensorFlow, AWS (Amazon Web Services).
  ☆236Updated 2 years ago
• dipanjanS / data_science_for_all
  Code and resources for my blog and articles to share Data Science and AI knowledge and learnings with everyone
  ☆211Updated 6 years ago
• PacktPublishing / Frank-Kanes-Taming-Big-Data-with-Apache-Spark-and-Python
  Frank Kane's Taming Big Data with Apache Spark and Python, published by Packt
  ☆124Updated 2 years ago
• Dpananos / GetCards
  Notebook to download machine learning flashcards
  ☆456Updated 5 years ago
• cs109 / a-2017
  Public Repository for cs109a, 2017 edition
  ☆327Updated 2 years ago
• ritchieng / machine-learning-nanodegree
  Codes, notes and guides on Udacity's machine learning nanodegree.
  ☆81Updated 9 years ago
• dipanjanS / art_of_data_visualization
  The art of effective visualization of multi-dimensional data
  ☆164Updated 7 years ago
• uwescience / TrafficCruising-DSSG2017
  Public Repository for Traffic Cruising DSSG 2017 Project
  ☆132Updated 2 years ago
• justmarkham / machine-learning-for-software-engineers
  A complete daily plan for studying to become a machine learning engineer.
  ☆52Updated 9 years ago
• kjam / data-pipelines-course
  Course materials for my data pipeline video course with O'Reilly
  ☆200Updated 8 years ago
• StephenElston / ExploringDataWithPython
  Methods of data exploration and visualization using Python.
  ☆146Updated 6 years ago
• davidyakobovitch / data_science_resources
  📊 Data Science Resources, Data Science Standards & Machine Learning Pipelines
  ☆161Updated 3 years ago
• harnav / pydata-docker-tutorial
  Tutorial given at PyData LA 2018
  ☆97Updated last year
• matthewbrems / missing-data-workshop
  Matt Brems' Missing Data Workshop
  ☆83Updated 3 years ago
• WillKoehrsen / probabilistic-programming
  Experimenting with and teaching probabilistic programming
  ☆105Updated 3 years ago
• amueller / scipy-2018-sklearn
  Scipy 2018 scikit-learn tutorial by Guillaume Lemaitre and Andreas Mueller
  ☆248Updated 7 years ago
• LeiG / Applied-Predictive-Modeling-with-Python
  A collection of notebook to learn the Applied Predictive Modeling using Python.
  ☆281Updated 9 years ago
• jseabold / pycon-ds-2018
  Introduction to Python for Data Science for PyCon 2018
  ☆130Updated 7 years ago
• gkamradt / Lessons-Learned-Data-Science-Interviews
  Lessons learned the hard way through over 30+ data science interviews
  ☆229Updated 5 years ago