tdpetrou / Data-Science-in-Two-Minutes

Related projects: ⓘ

• the-deep-learners / nyc-ds-academy
  In-class exercises for Deep Learning course at NYC Data Science Academy
  ☆32Updated 6 years ago
• amitkaps / art-data-science
  The Art of Data Science
  ☆34Updated 5 years ago
• tdpetrou / Intro-to-Data-Science-with-Python
  ☆26Updated this week
• Startupsci / data-science-notebooks
  Jupyter notebooks for learning Python and Data Science, companion to Data Science Solutions book.
  ☆36Updated 4 years ago
• tdpetrou / Book-Reviews
  ☆26Updated 6 years ago
• gapatino / Doing-frequentist-statistics-with-Scipy
  Repository for the PyData DC 2016 tutorial
  ☆29Updated 7 years ago
• GeorgeMcIntire / collection_free_DL_resources
  My exhaustive repo of free deep learning resources
  ☆50Updated 7 years ago
• amueller / talks_odt
  Slides and materials for most of my talks by year
  ☆91Updated last year
• AileenNielsen / OReillyHealthcareData
  ☆40Updated 7 years ago
• justmarkham / pydata-dc-2016-tutorial
  Tutorial: Machine Learning with Text in scikit-learn
  ☆74Updated 7 years ago
• tdpetrou / integrating-pandas-with-scikit-learn
  Tutorial covering a new workflow available going from pandas to scikit-learn
  ☆40Updated last year
• PacktPublishing / Data-Science-Algorithms-in-a-Week
  Data Science Algorithms in a Week, published by Packt
  ☆32Updated last year
• WillKoehrsen / data-science-for-good
  Data Science for Good Projects
  ☆49Updated 6 years ago
• jalajthanaki / DataScience_Interview_Seminar
  This is the presentation on - What are the key points one should consider if they will be appearing in Data Science job interview
  ☆41Updated 5 years ago
• hugobowne / machine_learning_techniques
  In which I implement some applications of machine learning techniques.
  ☆30Updated 8 years ago
• robert-alvarez / pytorch_tutorial
  ☆31Updated 5 years ago
• vi3k6i5 / pandas_basics
  basic pandas tutorials
  ☆47Updated 7 years ago
• TomAugspurger / pydata-nyc-ph2t
  PyData NYC 2017: Pandas Head to Tail
  ☆57Updated 6 years ago
• rsibi / Springboard
  Springboard - Data Science Intensive course
  ☆13Updated 7 years ago
• PacktPublishing / Machine-Learning-Solutions
  Machine Learning Solutions, published by Packt
  ☆15Updated last year
• deniederhut / Pandas-Tutorial-SciPyConf-2018
  ☆48Updated 6 years ago
• dziganto / Data_Science_Fundamentals
  ☆102Updated 6 years ago
• justmarkham / python-data-analysis-workshop
  Workshop: Intro to Python for Data Analysis
  ☆71Updated 9 years ago
• rasbt / PyMLSlides
  Slides for my machine learning course based on Sebastian Raschka's Python Machine Learning book
  ☆17Updated 6 years ago
• Dataweekends / exploratory_data_analysis
  Few tutorials on pandas, matplotlib and seaborn
  ☆26Updated 8 years ago
• bjherger / public-talks
  A repo for talk materials
  ☆25Updated 4 years ago
• cs109 / 2015lab5
  Lab 5, the first on Machine Learning!
  ☆24Updated 8 years ago
• datacamp / datacamp_facebook_live_titanic
  DataCamp Facebook Live Code Along Session 2: Learn how to complete a Kaggle competition using exploratory data analysis, data munging, da…
  ☆61Updated 4 years ago
• Apress / mastering-ml-w-python-in-six-steps
  Source code for 'Mastering Machine Learning with Python in Six Steps' by Manohar Swamynathan
  ☆106Updated 7 years ago
• gapatino / Making-Your-Code-Faster-Cython-and-parallel-processing-in-the-Jupyter-Notebook
  Jupyter Notebook for PyData DC 2016 on "Making Your Code Faster: Cython and parallel processing in the Jupyter Notebook"
  ☆12Updated 7 years ago