chrisalbon / git_tutorial

Related projects: ⓘ

• WillKoehrsen / data-science-for-good
  Data Science for Good Projects
  ☆49Updated 6 years ago
• AileenNielsen / OReillyHealthcareData
  ☆40Updated 7 years ago
• cs109 / 2015lab5
  Lab 5, the first on Machine Learning!
  ☆24Updated 8 years ago
• rozester / LinkedIn-Comments-Analyzer
  Extracting LinkedIn comments from any post and export it to Excel file
  ☆23Updated 5 years ago
• chrisalbon / kaggle
  ☆11Updated this week
• dziganto / Data_Science_Fundamentals
  ☆102Updated 6 years ago
• justmarkham / python-data-science-workshop
  Workshop: Python for Data Science
  ☆61Updated 9 years ago
• susanli2016 / Statistics-with-Python
  ☆26Updated 4 years ago
• hugobowne / machine_learning_techniques
  In which I implement some applications of machine learning techniques.
  ☆30Updated 8 years ago
• solegalli / Python-Feature-Engineering-Cookbook-First-Edition
  ☆30Updated 3 months ago
• deniederhut / Pandas-Tutorial-SciPyConf-2018
  ☆48Updated 6 years ago
• yoonkanglow / Causal-Impact-Analysis-Demo
  ☆25Updated 6 years ago
• woobe / h2o_tutorials
  Slides and code examples for H2O tutorials at various events
  ☆56Updated 7 years ago
• the-deep-learners / nyc-ds-academy
  In-class exercises for Deep Learning course at NYC Data Science Academy
  ☆32Updated 6 years ago
• decisionstats / python_for_datascience
  Python for Data Science
  ☆25Updated last year
• DunderData / Tutorials
  Python data science and machine learning from Ted Petrou with Dunder Data
  ☆53Updated last year
• matthewbrems / jupytercon-missing-data-2018
  JupyterCon Missing Data Talk 2018
  ☆23Updated 6 years ago
• ikding / pycon_time_series
  PyCon 2017 tutorial on time series analysis
  ☆72Updated 7 years ago
• gapatino / Doing-frequentist-statistics-with-Scipy
  Repository for the PyData DC 2016 tutorial
  ☆29Updated 7 years ago
• yoonhwang / hands-on-data-science-for-marketing
  ☆26Updated 3 years ago
• Dataweekends / exploratory_data_analysis
  Few tutorials on pandas, matplotlib and seaborn
  ☆26Updated 8 years ago
• topspinj / pydata-workshop
  "Building a Recommender System from Scratch" Workshop Material for PyDataDC 2018
  ☆23Updated 5 years ago
• treselle-systems / customer_churn_analysis
  In the customer management lifecycle, customer churn refers to a decision made by the customer about ending the business relationship. It…
  ☆56Updated last year
• rnditdev / PyData_London_2018_Computer_Vision
  These are the slides and code for my tutorial "Computer Vision: an (Un?)Expected Journey" at PyData London 2018
  ☆29Updated 6 years ago
• fonnesbeck / ngcm_pandas_2017
  Python data analysis course for 2017 NGCM Summer Academy
  ☆19Updated 7 years ago
• IbrahimKochbati / SentdexML
  Introduction to machine learning
  ☆10Updated 6 years ago
• datacamp / datacamp_facebook_live_ny_resolution
  In this Facebook live code along session with Hugo Bowne-Anderson, you're going to check out Google trends data of keywords 'diet', 'gym'…
  ☆44Updated 6 years ago
• Startupsci / data-science-notebooks
  Jupyter notebooks for learning Python and Data Science, companion to Data Science Solutions book.
  ☆36Updated 4 years ago
• rsibi / Springboard
  Springboard - Data Science Intensive course
  ☆13Updated 7 years ago
• chrisalbon / MachineLearningFlashcards.com
  The website for the machine learning flashcards project.
  ☆34Updated 10 months ago