Alternatives and similar repositories for Airbnb-neural-network-price-prediction

Users that are interested in Airbnb-neural-network-price-prediction are comparing it to the libraries listed below

• tklouie / PyData_LA_2018
  Added repo for PyData LA 2018 tutorial
  ☆88Updated 7 years ago
• baumanab / udacity_ABTesting
  Project work for Udacity's AB Testing Course
  ☆83Updated 8 years ago
• mnguyenngo / ab-framework
  Notes and Python scripts for A/B or Split Testing
  ☆144Updated 3 years ago
• drivendataorg / pover-t-tests
  ☆27Updated 2 years ago
• tfolkman / byu_econ_applied_machine_learning
  The course work for the applied machine learning course I am teaching at BYU
  ☆136Updated 5 years ago
• PacktPublishing / Hands-On-Data-Science-for-Marketing
  Hands-On Data Science for Marketing, published by Packt
  ☆252Updated 6 months ago
• joshxinjie / Data_Scientist_Nanodegree
  ☆77Updated 6 years ago
• HamzaBendemra / Employee-Churn-Predictive-Model
  Predicting Employee Churn with Supervised Machine Learning
  ☆63Updated 4 years ago
• carl24k / fight-churn
  Code from the book Fighting Churn With Data
  ☆303Updated 3 months ago
• 5x12 / ml-cookbook
  Toolbox with machine learning algorithms and methods.
  ☆60Updated 2 years ago
• Samreay / DSGoPipeline
  A short workshop on datascience pipelines using mlflow and airflow
  ☆53Updated 2 years ago
• alteryx / predict-customer-churn
  A general-purpose framework for solving problems with machine learning applied to predicting customer churn
  ☆419Updated last year
• springboard-curriculum / awesome-springboard-capstones
  Place for collecting great projects/capstones from previous springboard students.
  ☆54Updated 4 years ago
• harnav / pydata-docker-tutorial
  Tutorial given at PyData LA 2018
  ☆97Updated last year
• Pierian-Data / ISLR-python
  An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code
  ☆86Updated 9 years ago
• suvoooo / Machine_Learning
  Some fundamental machine learning and data-analysis techniques are explained through realistic examples.
  ☆123Updated last year
• MaartenGr / Projects
  Data Science Portfolio
  ☆74Updated 4 years ago
• mattharrison / ml_pocket_reference
  Resources for Machine Learning Pocket Reference
  ☆268Updated 4 years ago
• datarobot-community / tutorials-for-data-scientists
  ☆81Updated 2 years ago
• jcrouser / islr-python
  ☆110Updated 4 years ago
• Ehor26 / Udacity_Nanodegree
  Predictive Analytics for Business
  ☆10Updated 5 years ago
• chendaniely / pydatadc_2018-tidy
  PyData 2018 tutorial for tidying data
  ☆149Updated 7 years ago
• drivendataorg / box-plots-sklearn
  An implementation of some of the tools used by the winner of the box plots competition using scikit-learn.
  ☆298Updated 7 years ago
• klemag / pydata_nyc2018-intro-to-model-interpretability
  Notebook and slides for my talk at Pydata NYC 2018
  ☆88Updated last year
• yoonhwang / hands-on-data-science-for-marketing
  ☆26Updated 4 years ago
• Sundar0989 / EndtoEnd---Predictive-modeling-using-Python
  ☆56Updated 7 years ago
• amueller / COMS4995-s20
  COMS W4995 Applied Machine Learning - Spring 20
  ☆245Updated 3 years ago
• bhattbhavesh91 / GA_Sessions
  A Placeholder of all the scripts & notebooks which I'll be using for GA Sessions
  ☆29Updated 6 years ago
• SocialDataAnalytics-Winter2018 / lab04
  Web scraping, APIs, and Twitter
  ☆34Updated 7 years ago
• gutfeeling / univariate-linear-regression
  The data science project used in my Datacamp course Unit Testing for Data Science in Python
  ☆145Updated 2 years ago