Schokgolf's Stars
PlummersSoftwareLLC/NightDriverStrip
NightDriver client for ESP32
Liore-S/lodging-price-regression
Estimating hotel room price in Bali using XGBoost algorithm
dandean/fairmont-scraper
Scrape Fairmont's website for room prices
SantiagoRavotti/Copenhagen-Apartments-Analysis
Room Price and Size Analysis for Copenhagen Area
farinisgeorge/Pricelytical
A price analysis API that collects data from various sites like Booking.com, Agoda, Expedia, Hotels.com, Zenhotels, Trivago etc. and presents a recommended price for a room in a specific area.
yoikodata/Airbnb_top_regions-roomtype
part quiz project and take home, looking at top selling Airbnb regions, and which room type had the highest average pricing
KarmaKamikaze/HotelPriceScout
This program is designed to notify hotel price managers of competitor price changes and display the discrepancies in a calendar overview. Additionally, a price thermometer is available to suggest price regulation with the average market in mind.
dtrungtin/actor-booking-scraper
Actor for extracting data about hotels from Booking.com
thekamillionaire/check-out-in-block
Manage an inventory? Rent out equipment? Need to track who comes in and out of a building? Manage when a record is "out" and "in" with ease using this custom block!
sahilkargutkar/Appointment-Scheduler
An Appointment Scheduler for patients using Airtable
ryanhkenyon/Valet-Manager
A website for Valet Managers to manage and keep track of their business.
saleem-git/valeting-dashboard
System to manage valeting and employee
saransappa/Valet-Parking
A full stack web-app to manage valet parking services.
ftiannn/valet-car-parking-system
Car parking system to manage carpark slots and its revenue
preshetin/menu-constructor
Airtable extension that helps managing menu planning for Vipassana courses
isNan909/xstate_airtable_crudApp
A demo application using Xstate with Airtable inside of React Application
JusteGA1/booking-price-predictions
jpvsalomao/Booking-Price-Prediction
Used Python to collect and analyze data from Booking.com and Google Maps API to understand factors influencing the pricing of hotel rooms.
kumaranurag7/Rental-price-prediction
Stayze is an online market for providing lodging or primary homestays. The company does not own any real estate or properties, it acts as a broker receiving commission from each booking. The hosts rent out their property, its availability, area, type of room, price etc. and the travellers can book accordingly. The travellers put in their reviews, which is visible to others. People have used this service extensively and the company is recognized throughout the globe. All the online activities of the hosts as well as the travellers are being captured and have resulted in a rich database. This data can be used to gain business insights, make decisions, improve security, understand the customers' and providers' (hosts) behaviour and performance on the platform, guiding marketing initiatives, implementation of innovative additional services and much more. The stakeholders with the help of the available data want to know the ideal prices at which the properties can be rented, as it will help them decide upon the ideal investment to be done. Can we build a machine learning model to predict the ideal price of the rental ? Datasets : The data folder data.zip that is provided to you contains the following files: Train.csv - It is the training data containing the features, along with the price of the rentals. Data_Dictionary.xlsx - It contains a brief description of every variable provided in the training and test set. Test.csv: - It contains details of the customers for which the participants need to predict the price of the rentals. sample_submission.csv - This is a sample file of the format in which you have to submit your predictions on GLabs. Evaluation: A solution with low root-mean-squared error (RMSE) was desired.
gitvivekgupta/Dynamic-Price
Dynamic Pricing for Hotels!
tpatil0412/Dynamic-Pricing
This machine learning model (deep and wide learning model) helps us to implement dynamic pricing feature of a supply chain business problem. This model uses tensorflow to solve the problem and can be structured accordingly to run efficiently on Google Cloud Platform.
mmauthoor/neurodiverse-toolkit
A neurodivergent-friendly organisational toolkit designed to help autistic people and people with ADHD with planning, time management and executive functions.
WolfElkan/Calendar
A Task Organizer & Productivity Tracker designed for people with ADHD
alicelovescake/sheetmenu
SheetMenu helps restaurants deploy professional websites in under fifteen minutes
brooklynrail/brooklynrail-platform
The future site of The Brooklyn Rail. Currently responsible for hosting the Rail events, donation pages, and special projects.
InstaPy/InstaPy
📷 Instagram Bot - Tool for automated Instagram interactions
codeday/www-corp
www.codeday.org website
gillkyle/contemporarium
statically generated demo restaurant site with Sheets backend
enertial/streamdeck-dcs-interface
A StreamDeck plugin for interaction with Digital Combat Simulator (DCS)
ShaunLWM/node-whatsapp-drive-extractor
💬 Download your backed up WhatsApp medias from Google Drive