Alternatives and similar repositories for Real-Estate:

Users that are interested in Real-Estate are comparing it to the libraries listed below

• noahgift / real_estate_ml
  Machine Learning for Real Estate
  ☆76Updated 2 months ago
• ManojKumarMaruthi / Time-Series-Forecasting
  Forecasting Monthly Sales of French Champagne - Perrin Freres
  ☆24Updated 5 years ago
• max-fitzpatrick / Credit-scoring-model
  Credit scoring machine learning algorithm which predicts probability of default
  ☆78Updated 7 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"
  ☆78Updated 2 years ago
• eliekawerk / Real_Estate_Tycoon_project
  Predict Housing Prices using Machine Learning.
  ☆21Updated 7 years ago
• nishant1005 / Credit-Risk-Modeling-using-Machine-Learning
  A study and comparison of Risk Modeling algorithms (Capstone Project)
  ☆33Updated 6 years ago
• blurred-machine / Sales-and-Marketing-Analytics
  This repository consists of predicting dynamic pricing, churn predictions using sales and marketing data for understanding users' behavio…
  ☆72Updated 5 years ago
• SooyeonWon / customer_analytics_fmcg
  Customer & Purchase Analytics using Segmentation, Targeting, Positioning, Marketing Mix, Price Elasticity
  ☆42Updated 4 years ago
• eswar3 / Zillow-prediction-models
  Machine Learning Project using Kaggle dataset
  ☆19Updated 6 years ago
• jalajthanaki / Customer_segmentation
  Analysing the content of an E-commerce database that contains list of purchases. Based on the analysis, I develop a model that allows to …
  ☆133Updated 6 years ago
• enesozi / Credit-Risk-Analysis
  ☆36Updated 7 years ago
• netsatsawat / HR-Analytics
  This repository demonstrates how data science can help to identify the employee attrition which is part of Human Resource Management
  ☆16Updated 5 years ago
• dbmi-pitt / SocialMediaDataScience
  Data Science module - text analytics, Natural Language Processing, and Machine Learning on Social Media (twitter) data
  ☆24Updated 5 years ago
• MaartenGr / Projects
  Data Science Portfolio
  ☆72Updated 4 years ago
• Prakhar-FF13 / Customer-Analytics
  Machine Learning Case study on customer segmentation and prediction of groups.
  ☆31Updated 6 years ago
• DarekarA / TwitterSentimentAnalysis_Public
  Twitter Sentiment Analysis
  ☆26Updated 3 years ago
• RegaipKURT / Credit-Risk-Modelling
  ☆23Updated 4 years ago
• MAydogdu / TextualAnalysis
  Extracting sentiment from financial statements using neural networks
  ☆20Updated 6 years ago
• AvinashSingh786 / Fraud-Analysis
  Insurance fraud claims analysis project
  ☆52Updated last year
• vishnukanduri / Credit-Risk-Modeling-in-Python
  Modeled the credit risk associated with consumer loans. Performed exploratory data analysis (EDA), preprocessing of continuous and discre…
  ☆87Updated 4 years ago
• cchauser / Twitter-real-time-sentiment-analysis
  Real-time sentiment analysis on tweets using tweepy and kafka. Graphed using the output of a neural network and Dash/Plotly.
  ☆14Updated 4 years ago
• Sardhendu / Data-Science-Projects
  {PySpark, R, Python}: Several Data Science projects
  ☆16Updated 6 years ago
• jeremyjordan / customer-segmentation
  An example of clustering applied to finding customer segments.
  ☆19Updated 7 years ago
• marcotav / supervised-machine-learning
  This repo contains regression and classification projects. Examples: development of predictive models for comments on social media websit…
  ☆44Updated 5 years ago
• anishsingh20 / Human-Resource-Analytics-and-Employee-Churn-Prediction
  A Data science and Analytics project with the main aim of doing some Descriptive and Exploratory Data Analysis and then applying predict…
  ☆47Updated 4 years ago
• PacktPublishing / Python-Social-Media-Analytics
  Python Social Media Analytics, published by Packt
  ☆108Updated 2 years ago
• Mogbo / Customer-Clustering-Segmentation-Challenge
  My work for the KPMG (open to public) challenge for bank customer segmentation based on its annual banking industry survey. Dimension of …
  ☆13Updated 7 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
  ☆96Updated 9 years ago
• mcabinaya / Bank-Marketing-Data-Analysis
  Machine Learning/Pattern Recognition Models to analyze and predict if a client will subscribe for a term deposit given his/her marketing …
  ☆15Updated 6 years ago
• rohitharitash / EDGAR-reports-Text-Analysis
  Data from EDGAR filling was extracted and text analysis was performed.
  ☆38Updated 6 years ago