Data Science Designer and Developer
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- oasis-security Public
A feature that can be included in Oasis project https://github.com/nclsprsnw/oasis
Data-Science-Designer-and-Developer/oasis-security’s past year of commit activity - Project_GetAround Public
Step into our shoes and tackle a real 2017 challenge: finding the perfect buffer time between rentals to prevent late returns without sacrificing revenue. Build data insights, a decision dashboard, and a pricing prediction API to help product leaders choose the optimal threshold and scope with confidence.
Data-Science-Designer-and-Developer/Project_GetAround’s past year of commit activity - Project_Oasis Public
his project aims to predict real estate prices, primarily focusing on the impact of *climatic events*. Our goal is to identify *safe and profitable locations* by analyzing how various weather and climate patterns influence property values. As the project evolves, we plan to incorporate other significant events that might affect real estate prices.
Data-Science-Designer-and-Developer/Project_Oasis’s past year of commit activity - Project_ATT Public
One of the main pain point that AT&T users are facing is constant exposure to SPAM messages. AT&T has been able to manually flag spam messages for a time, but they are looking for an automated way of detecting spams to protect their users.
Data-Science-Designer-and-Developer/Project_ATT’s past year of commit activity - The_North_Face Public
The marketing team wants to use machine learning on The North Face’s French site to boost sales by: 1) adding a recommender system suggesting similar products on each page, and 2) using topic extraction to create better, data‑driven product categories.
Data-Science-Designer-and-Developer/The_North_Face’s past year of commit activity - Project_Uber_Pickups Public
Using ride data, Uber guides drivers to areas with high demand to speed pick-ups and lower cancellation rates.
Data-Science-Designer-and-Developer/Project_Uber_Pickups’s past year of commit activity - Project_Walmart Public
Walmart's marketing service has asked you to build a machine learning model able to estimate the weekly sales in their stores, with the best precision possible on the predictions made. Such a model would help them understand better how the sales are influenced by economic indicators, and might be used to plan future marketing campaigns.
Data-Science-Designer-and-Developer/Project_Walmart’s past year of commit activity - Project_Tinder Public
Analyze a speed dating dataset to uncover what drives mutual attraction and second-date decisions. Includes participant ratings, demographics, dating habits, and lifestyle info to explore patterns using statistics and visualizations.
Data-Science-Designer-and-Developer/Project_Tinder’s past year of commit activity - oasis Public Forked from nclsprsnw/oasis
🏠 This project aims to predict real estate prices, primarily focusing on the impact of climatic events. Our goal is to identify safe and profitable locations by analyzing how various weather and climate patterns influence property values. As the project evolves, we plan to incorporate other significant events that might affect real estate prices.
Data-Science-Designer-and-Developer/oasis’s past year of commit activity
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