Alternatives and similar repositories for AirBnbPricePrediction:

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

• rajat5ranjan / AV-LTFS-Data-Science-FinHack-ML-Hackathon
  L&T Financial Services & Analytics Vidhya presents ‘DataScience FinHack’ organised by Analytics Vidhya
  ☆54Updated 5 years ago
• Semantive / Kaggle-Demand-Forecasting-Models
  Demand Forecasting Models for Kaggle competition
  ☆81Updated 6 years ago
• dimitreOliveira / StoreItemDemand
  (117th place - Top 26%) Deep learning using Keras and Spark for the "Store Item Demand Forecasting" Kaggle competition.
  ☆26Updated 5 years ago
• Sundar0989 / EndtoEnd---Predictive-modeling-using-Python
  ☆57Updated 6 years ago
• etcrago / Tutorial-Arima-w-jeffrey-yau
  ☆100Updated 6 years ago
• robertdefilippi / ensemble-bagging-boosting
  ☆27Updated 6 years ago
• Sundar0989 / WOE-and-IV
  ☆137Updated 6 years ago
• 30lm32 / ml-time-series-analysis-on-sales-data
  Time Series Decomposition techniques and random forest algorithm on sales data
  ☆57Updated 2 years ago
• khanhnamle1994 / applied-machine-learning
  A step-by-step guide to get started with Applied Machine Learning
  ☆138Updated 6 years ago
• MaartenGr / feature-engineering
  Tips for Advanced Feature Engineering
  ☆52Updated 4 years ago
• jalajthanaki / DataScience_Interview_Seminar
  This is the presentation on - What are the key points one should consider if they will be appearing in Data Science job interview
  ☆40Updated 6 years ago
• huynhe / Data-Science-Take-Home-Challenges-Collection
  Data Science Take Home Challenges
  ☆12Updated 6 years ago
• harishpuvvada / LoanDefault-Prediction
  Lending Club Loan data analysis
  ☆160Updated 5 years ago
• shravankoninti / AV
  Analytics Vidhya Hackathons and Others
  ☆26Updated 4 years ago
• dipanjanS / deep_transfer_learning_nlp_dhs2019
  Contains the code and deck for the presentation on Applying Deep Transfer Learning for NLP in Analytics Vidhya's DataHack Summit 2019
  ☆82Updated 5 years ago
• SudalaiRajkumar / DHS2019_HackSession_NLP
  Codes used for the hack session in DHS 2019
  ☆53Updated 5 years ago
• mnguyenngo / ab-framework
  Notes and Python scripts for A/B or Split Testing
  ☆140Updated 2 years ago
• justinng1 / berka
  ☆27Updated 6 years ago
• WillKoehrsen / probabilistic-programming
  Experimenting with and teaching probabilistic programming
  ☆103Updated 2 years ago
• lmassaron / kaggledays-2019-gbdt
  Kaggle Days Paris - Competitive GBDT Specification and Optimization Workshop
  ☆92Updated last year
• sahil711 / AV
  Contains solutions to AV competitions
  ☆21Updated last year
• mratsim / home-credit-default-risk
  Default risk prediction for Home Credit competition - Fast, scalable and maintainable SQL-based feature engineering pipeline
  ☆79Updated 6 years ago
• abaranovskis-redsamurai / automation-repo
  Machine learning and process automation
  ☆135Updated 2 years ago
• klemag / pydata_nyc2018-intro-to-model-interpretability
  Notebook and slides for my talk at Pydata NYC 2018
  ☆88Updated 7 months ago
• enesozi / Credit-Risk-Analysis
  ☆36Updated 6 years ago
• Acrotrend / Awesome-Customer-Analytics
  A curated list of awesome customer analytics content
  ☆95Updated 7 years ago
• yazanobeidi / fraud-detection
  Credit Card Fraud Detection using ML: IEEE style paper + Jupyter Notebook
  ☆101Updated 2 years ago
• tklouie / PyData_LA_2018
  Added repo for PyData LA 2018 tutorial
  ☆89Updated 6 years ago
• jeremyjordan / customer-segmentation
  An example of clustering applied to finding customer segments.
  ☆19Updated 7 years ago
• anurag-code / Survival-Analysis-Intuition-Implementation-in-Python
  Quick Implementation in python
  ☆53Updated 5 years ago