dataoptimal / posts

Related projects: ⓘ

• rsibi / Springboard
  Springboard - Data Science Intensive course
  ☆13Updated 7 years ago
• cs109 / 2015lab5
  Lab 5, the first on Machine Learning!
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• WillKoehrsen / data-science-for-good
  Data Science for Good Projects
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• gapatino / Doing-frequentist-statistics-with-Scipy
  Repository for the PyData DC 2016 tutorial
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• StephenElston / DataScience350
  Material for UW Extension Data Science 350
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• ethen8181 / Business-Analytics
  Data Analytics, Statistics, Visualization (R / Python)
  ☆91Updated 7 years ago
• treselle-systems / customer_churn_analysis
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  ☆56Updated last year
• cs109 / 2015lab8
  AWS, Vagrant, and Spark
  ☆20Updated 8 years ago
• ikding / pycon_time_series
  PyCon 2017 tutorial on time series analysis
  ☆72Updated 7 years ago
• yoonkanglow / Causal-Impact-Analysis-Demo
  ☆25Updated 6 years ago
• Vishwacorp / nyc_uber_forecasting
  Forecasting Uber demand in NYC neighborhoods
  ☆34Updated 6 years ago
• cs109 / 2015lab4
  Lab for Linear and Logistic Regression, SciKit Learn
  ☆41Updated 5 years ago
• hugobowne / machine_learning_techniques
  In which I implement some applications of machine learning techniques.
  ☆30Updated 8 years ago
• luciasantamaria / pandas-tutorial
  Teaching materials for pandas and scikit-learn
  ☆18Updated 8 years ago
• AileenNielsen / PyGotham_2016_Probabilistic_Graphical_Models
  Presentation + Jupyter Notebook from PyGotham July 2016
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• susanli2016 / Statistics-with-Python
  ☆26Updated 4 years ago
• AileenNielsen / OReillyHealthcareData
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• thedataincubator / excel-to-python
  Examples of how Python can speed up tasks that are cumbersome in Excel
  ☆13Updated 7 years ago
• solegalli / DataScience-Portfolio
  ☆23Updated this week
• woobe / h2o_tutorials
  Slides and code examples for H2O tutorials at various events
  ☆56Updated 7 years ago
• tdpetrou / integrating-pandas-with-scikit-learn
  Tutorial covering a new workflow available going from pandas to scikit-learn
  ☆40Updated last year
• DunderData / Tutorials
  Python data science and machine learning from Ted Petrou with Dunder Data
  ☆53Updated last year
• aakashtandel / misc_projects
  A repository filled with various data science projects.
  ☆32Updated 3 years ago
• aswalin / Outlier-Impact-Treatment
  The goal of this repository is to detect the outliers for a dataset & see the impact of these outliers on predictive models
  ☆23Updated 6 years ago
• RyanSydney / PredictiveCustomerAnalytics
  ☆26Updated this week
• kthouz / NYC_Green_Taxi
  Analysis of NYC Green Taxi and a model to predict the tip as a percentage of the total fare
  ☆43Updated 7 years ago
• shubhamjn1 / TextBlob
  ☆17Updated 6 years ago
• podopie / DAT18NYC
  General Assembly repo for Data Science 18
  ☆36Updated 9 years ago
• brentzucker / brownlee
  Code snippets from Jason Brownlee's ML and Deep Learning books.
  ☆12Updated 7 years ago
• tdpetrou / Intro-to-Data-Science-with-Python
  ☆26Updated this week