samuelklee / taxi-strategy

Related projects ⓘ

Alternatives and complementary repositories for taxi-strategy

• thedataincubator / practical-ml
  ☆24Updated 6 years ago
• fonnesbeck / multilevel_modeling
  Tutorial on multilevel modeling, using Gelman radon example
  ☆55Updated 9 years ago
• ivanliu1989 / Driver-Telematics-Analysis
  ☆13Updated 5 years ago
• jcbozonier / research
  A collection of IPython Notebooks containing my research.
  ☆20Updated 6 years ago
• the-deep-learners / nyc-ds-academy
  In-class exercises for Deep Learning course at NYC Data Science Academy
  ☆32Updated 6 years ago
• padamson / rwml-R
  R code to accompany Henrik Brink, Joseph W. Richards, and Mark Fetherolf's book "Real-World Machine Learning"
  ☆60Updated 2 years ago
• TomAugspurger / dask-tutorial-odsc-2018
  ☆15Updated 2 years ago
• h2oai / Deep-Learning-with-h2o-in-R
  Deep neural networks on over 50 classification problems from the UC Irvine Machine Learning Repository
  ☆25Updated 9 years ago
• AllenDowney / BayesForUndergrads
  Materials for a workshop on developing undergraduate classes on Bayesian statistics.
  ☆47Updated 8 years ago
• WLOGSolutions / telco-customer-churn-in-r-and-h2o
  Showcase for using H2O and R for churn prediction (inspired by ZhouFang928 examples)
  ☆58Updated 7 years ago
• zatonovo / deep_learning_ex
  Deep learning examples
  ☆13Updated 7 years ago
• davpinto / ml-simulations
  Animated Visualizations of Popular Machine Learning Algorithms
  ☆37Updated 7 years ago
• gjreda / gregreda.com
  ☆30Updated last year
• amit-sharma / splitdoor-causal-criterion
  A method for estimating causal effects in time-series data. Uses available data to automatically find natural experiments for identifying…
  ☆15Updated 4 years ago
• joshloyal / pydata-amazon-products
  Code for PyData Talk on "Classifying Products Based on Images and Text using Keras"
  ☆30Updated 7 years ago
• alzmcr / axa
  Kaggle's AXA Driver Telematics Analysis
  ☆11Updated 9 years ago
• jcrist / Dask_PyData_NYC
  Materials for dask talk at PyData NYC
  ☆15Updated 9 years ago
• dominodatalab / parallel-r-examples
  ☆8Updated 9 years ago
• AndreaCirilloAC / Afraus
  unsupervised multi-model fraud-detection algorithm √
  ☆11Updated 9 years ago
• fonnesbeck / bayes_tutorial_2019
  Introductory overview of Bayesian inference
  ☆45Updated 5 years ago
• AustinRochford / notebooks
  My Jupyter notebook server
  ☆19Updated 2 years ago
• oreillymedia / Data_Analytics_with_Hadoop
  ☆14Updated 6 years ago
• stoltzmaniac / Medicare
  ☆18Updated 7 years ago
• szilard / GBM-tune
  Tuning GBMs (hyperparameter tuning) and impact on out-of-sample predictions
  ☆21Updated 7 years ago
• robjhyndman / ForecastingWorkshop
  Slides for 3-day forecasting workshop
  ☆19Updated 6 years ago
• fastforwardlabs / couples-lime
  Notebook demonstrating use of LIME to interpret a model of long-term relationship success
  ☆24Updated 7 years ago
• trestletech / user2016-sparklyr
  ☆20Updated 8 years ago
• lopusz / pydata-berlin-2018
  ☆15Updated 6 years ago
• szilard / xgboost-adv-workshop-LA
  Advanced workshop on XGBoost with Tianqi Chen in Santa Monica, June 2, 2016
  ☆26Updated 8 years ago
• saraswatmks / Machine-Learning-in-R
  This repository contains my ML scripts in R
  ☆31Updated 7 years ago