MichaelAHood / real_estate_recommenderLinks
A personalized real estate recommender system that I built as part of my final project for the Data Science Intensive at Galvanize
☆98Updated 10 years ago
Alternatives and similar repositories for real_estate_recommender
Users that are interested in real_estate_recommender are comparing it to the libraries listed below
Sorting:
- Machine Learning for Real Estate☆81Updated 9 months ago
- Code to repeat the experiments of "The economic value of neighborhoods: Predicting real estate prices from the urban environment"☆77Updated 3 years ago
- Machine learning Regression problem with easy understandable solutions☆36Updated 7 years ago
- Marketing Budget Optimization for Online Retailers using AI & Machine Learning.☆81Updated 5 years ago
- Python Social Media Analytics, published by Packt☆113Updated 2 years ago
- Predicting Amsterdam house / real estate prices using Ordinary Least Squares-, XGBoost-, KNN-, Lasso-, Ridge-, Polynomial-, Random Forest…☆169Updated 6 years ago
- real estate automated valuation model☆37Updated 8 years ago
- Investigate how mutual funds leverage credit derivatives by studying their routine filings to the SEC using NLP techniques 📈🤑☆53Updated 8 months ago
- Analytics and data science business case studies to identify opportunities and inform decisions about products and features. Topics incl…☆300Updated 11 months ago
- ICR - Automated and Intelligent Company Report Built in Python (by @firmai)☆180Updated 2 years ago
- Zillow Scraper for Python using Selenium☆170Updated 6 years ago
- Data analysis of angel.co companies☆44Updated 6 years ago
- A curated list of awesome customer analytics content☆99Updated 7 years ago
- ☆38Updated 8 years ago
- Predictive Lead Scoring does all the hard work for you by leveraging Machine Learning to provide your sales and marketing team with in-de…☆102Updated last year
- Scrapers from a project in 2018. Yelp, Spyfu, Similarweb, Morningstar, Linkedin, Instagram, Inside, Glassdoor, Facebook, Eat24, Doordash,…☆98Updated 6 years ago
- Predict Housing Prices using Machine Learning.☆22Updated 8 years ago
- ☆26Updated 9 years ago
- This repository consists of predicting dynamic pricing, churn predictions using sales and marketing data for understanding users' behavio…☆77Updated 5 years ago
- Repository with all files and data needed for Dash by Plotly post.☆61Updated 3 years ago
- This is the code for "AI in Marketing" by Siraj Raval on Youtube☆101Updated 7 years ago
- Scrape LinkedIn job postings using Selenium WebDriver with python bindings☆190Updated 8 years ago
- Web scrapping and related analytics using Python tools☆277Updated 5 years ago
- Zillow.com Web Scraper written in Python and LXML to extract real estate listings available based on a zip code.☆143Updated 7 years ago
- Analysing the content of an E-commerce database that contains list of purchases. Based on the analysis, I develop a model that allows to …☆135Updated 7 years ago
- Source code for my blog post about "How to predict the success of your marketing campaign"☆43Updated last year
- Predicting the likelihood of success for startups and their founders☆41Updated 7 years ago
- Achieve your marketing goals with the data analytics power of Python☆222Updated 6 years ago
- Live Twitter sentiment analysis using Python, Apache Spark Streaming, Kafka, NLTK, SocketIO☆20Updated 8 years ago
- Topic modelling on financial news with Natural Language Processing☆59Updated 8 years ago