tszereny / real_estate_machine_learning

Related projects: ⓘ

• SanikaVT / Real-Estate
  Machine learning Regression problem with easy understandable solutions
  ☆35Updated 6 years ago
• denadai2 / real-estate-neighborhood-prediction
  Code to repeat the experiments of "The economic value of neighborhoods: Predicting real estate prices from the urban environment"
  ☆73Updated 2 years ago
• eliekawerk / Real_Estate_Tycoon_project
  Predict Housing Prices using Machine Learning.
  ☆21Updated 7 years ago
• vlazovskiy / route-optimizer-machine-learning
  Route optimization solution which uses evolutionary algorithm with XGBoost model to optimize travel times.
  ☆130Updated 5 years ago
• amyoshino / SQUID-Syracuse-Dashboard
  Visualizing the streets condition in the city of Syracuse, NY
  ☆19Updated last year
• eswar3 / Zillow-prediction-models
  Machine Learning Project using Kaggle dataset
  ☆19Updated 5 years ago
• heremaps / here-location-services-python
  A Python client for HERE Location Services.
  ☆27Updated 9 months ago
• noahgift / real_estate_ml
  Machine Learning for Real Estate
  ☆74Updated 3 years ago
• vpipkt / spark_ai_summit_satellite
  Material from Spark+AI Summit 2020 talk "Bring Satellite & Drone Imagery into Your Data Science Workflows"
  ☆16Updated 4 years ago
• nikkisharma536 / streamlit_app
  ☆14Updated last month
• rlowrance / re-avm
  real estate automated valuation model
  ☆33Updated 7 years ago
• kitsamho / Instagram_Scraper_Graph
  Two Python classes that facilitate scraping of Instagram posts and graph modelling of hashtag data
  ☆30Updated 4 years ago
• max-fitzpatrick / Credit-scoring-model
  Credit scoring machine learning algorithm which predicts probability of default
  ☆70Updated 6 years ago
• sukanta-27 / Predicting-Success-of-Bank-Telemarketing
  Given the Bank customer relationship data, predict whether a customer will subscribe to a term deposit or not.
  ☆13Updated 4 years ago
• rylativity / identifying_wnv_locations-raw_repo-
  The official repo for Project 4, DSI (Team Members: April Griffin, Garth Hogan, Ryan Stewart, Suzanne McGann)
  ☆32Updated 5 years ago
• MBKraus / Predicting_real_estate_prices_using_scikit-learn
  Predicting Amsterdam house / real estate prices using Ordinary Least Squares-, XGBoost-, KNN-, Lasso-, Ridge-, Polynomial-, Random Forest…
  ☆155Updated 5 years ago
• shakasom / geocoding
  Geocoding tutorial in Python
  ☆48Updated 2 years ago
• RavenHustler / yelpscraper
  Yelp Data Scraper - Yelp web scraper built with Python and Scrapy
  ☆18Updated 6 years ago
• MichaelAHood / real_estate_recommender
  A personalized real estate recommender system that I built as part of my final project for the Data Science Intensive at Galvanize
  ☆93Updated 8 years ago
• bobhaffner / medium_posts
  ☆16Updated 5 years ago
• cwerner / covid19
  Dashboard for the COVID19 spread
  ☆24Updated 6 months ago
• googlemaps / property-finder
  A turnkey solution for a fictitious real estate business
  ☆79Updated 3 years ago
• achyutjoshi / Flight-Prices-Scraper
  Automated Script to scrape flight prices from any website into a csv format
  ☆29Updated 3 years ago
• discdiver / data-viz-streamlit
  ☆25Updated 2 years ago
• AleNegrini / PyCristoforo
  The new python library for the generation of contestualized random geolocations
  ☆31Updated 2 years ago
• p-eq / StreamlitDemos
  ☆35Updated this week
• perryrjohnson / Bird_DS
  NestGenerator: Predicting Real-time Nest Locations
  ☆23Updated 5 years ago
• zachrenwick / streamlit_forecasting_app
  This MVP data web app uses the Streamlit framework and Facebook's Prophet forecasting package to generate a dynamic forecast from your ow…
  ☆64Updated 8 months ago
• x-technology / airbnb-analytics
  Airbnb data + data science
  ☆61Updated 3 years ago
• GIScience / openrouteservice-examples
  (Mostly) real-world examples and inspirations to use the full breadth of ORS services and clients
  ☆84Updated last week