Alternatives and similar repositories for NYC_Green_Taxi

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

• ikding / pycon_time_series
  PyCon 2017 tutorial on time series analysis
  ☆72Updated 8 years ago
• shree-ranga / DSTakehomeChallenges
  Solutions to the book "Collection of Data Science TakeHome Challenges" in Python.
  ☆10Updated 7 years ago
• Vishwacorp / nyc_uber_forecasting
  Forecasting Uber demand in NYC neighborhoods
  ☆34Updated 7 years ago
• yoonkanglow / Causal-Impact-Analysis-Demo
  ☆26Updated 7 years ago
• dziganto / Data_Science_Fundamentals
  ☆102Updated 6 years ago
• gapatino / Doing-frequentist-statistics-with-Scipy
  Repository for the PyData DC 2016 tutorial
  ☆29Updated 8 years ago
• datadynamo / strata_ny_2017_recommender_tutorial
  Jupyter Notebooks for Strata Data Conference NY 2017 Deep Learning for Recommender Systems Tutorial
  ☆22Updated 7 years ago
• gabrielspmoreira / static_resources
  ☆77Updated 8 years ago
• bugra / pydata-dal-2015
  Pydata Dallas 2015 Scikit-Learn Tutorial
  ☆62Updated 10 years ago
• KwokHing / YandexCatBoost-Python-Demo
  Demo on the capability of Yandex CatBoost gradient boosting classifier on a fictitious IBM HR dataset obtained from Kaggle. Data explorat…
  ☆30Updated 5 years ago
• vellab / Insurance-claim-prediction
  A machine learning algorithm written to predict severity of insurance claim
  ☆20Updated 8 years ago
• amueller / ml-training-advanced
  Materials for the "Advanced Scikit-learn" class in the afternoon
  ☆165Updated 6 years ago
• thismlguy / Kaggle
  Containing codes of participation in Kaggle competitions.
  ☆37Updated 9 years ago
• bjherger / Uber-DS-Challenge
  Uber provided Data Science take home
  ☆92Updated 8 years ago
• igabr / Metis_Projects_Chicago_2017
  Metis Data Science Portfolio - Summer 2017
  ☆26Updated 7 years ago
• woobe / h2o_tutorials
  Slides and code examples for H2O tutorials at various events
  ☆56Updated 7 years ago
• natbusa / deepcredit
  How to predict credit defaulting?
  ☆93Updated 5 years ago
• jalajthanaki / Customer_lifetime_value_analysis
  Customer life time analysis (CLV analysis). We are using Gamma-Gamma model to estimate average transaction value for each customer.
  ☆46Updated 7 years ago
• ethen8181 / Business-Analytics
  Data Analytics, Statistics, Visualization (R / Python)
  ☆93Updated 7 years ago
• drivendataorg / power-laws-cold-start
  ☆23Updated last year
• cs109 / 2015lab5
  Lab 5, the first on Machine Learning!
  ☆26Updated 9 years ago
• woobe / odsc_h2o_machine_learning
  Materials for Machine Learning with H2O Open Platform at ODSC Masterclass Summit 2017
  ☆12Updated 8 years ago
• jayinai / kaggle-sequence
  A compiled list of kaggle competitions and their winning solutions for sequence problems.
  ☆35Updated 8 years ago
• WillKoehrsen / data-science-for-good
  Data Science for Good Projects
  ☆49Updated 6 years ago
• ericmjl / bayesian-stats-talk
  Doing Bayesian statistics in Python!
  ☆67Updated 7 years ago
• fastforwardlabs / couples-lime
  Notebook demonstrating use of LIME to interpret a model of long-term relationship success
  ☆24Updated 7 years ago
• thedataincubator / DS30_4
  Brian Farris' Talk on Reinforcement Learning and Multi-Armed Bandits for the Data Incubator
  ☆30Updated 7 years ago
• thismlguy / AJ_ML_Library
  This library is a wrapper for sklearn and works with data stored using Pandas module.
  ☆17Updated 9 years ago
• sampathweb / odsc-feature-engineering-talk
  Feature Engineering with Pipeline Talk at ODSC West 2016, Santa Clara
  ☆17Updated 8 years ago
• kellypeng / 120-Data-Science-Interview-Questions
  ☆14Updated 7 years ago