Rides Vector - Moozonian

GitHub Repo https://github.com/aspiringdatascientist/Capstone-1-Bike-Share-Project

aspiringdatascientist/Capstone-1-Bike-Share-Project

Data Science - Capstone Project 1: Bike sharing systems have been increasing in demand over the past two decades as a result of rapid advancements in technology. Healthy Ride is a public bicycle sharing system that serves parts of Pittsburgh to fulfill the growing need for changes in mobility pattern. Healthy Ride is operated by Pittsburgh Bike Share and has plans for expansion to reach new neighborhoods by adding more stations, including several electric bikes to help riders navigate Pittsburgh’s hilly geography, located throughout the city. In this project, we determine the results of machine learning models such as decision tree, Lasso, Ridge Regression, Random forests, Support-Vector, XG Boosting, Gradient Boosting and Linear Regression. The effect of factors such as weather, geographic location, time of day, day of week. Bike score, Walk-score, distance between stations etc. on the number of bikes at bike-share station are investigated.

GitHub Repo https://github.com/oldcoder01/TideVector

oldcoder01/TideVector

Read the tide. Ride the vector.

GitHub Repo https://github.com/greydoubt/python_semantic_search

greydoubt/python_semantic_search

perform vector search using fake data representing reviews of carnival rides

GitHub Repo https://github.com/Ripperox/Vector

Ripperox/Vector

This app is an aggregator for gig-workers that allows a rider (who currently has an active food delivery order) to find and accept a ride-sharing passenger whose route overlaps significantly with the food delivery route.

GitHub Repo https://github.com/agnel18/agnel18

agnel18/agnel18

Spring Boot | LevelUpGig.com: AI freelancer matcher via GitHub + vectors. Built 9 scalable apps: DevCollab (group coding), GradePulse (parent alerts), MediBook (OCR meds), FoodRush (donations), RideGreen (eco-rides), StaySmart (dynamic stays), FinTrace (fraud AI), EventFlow (NFT tickets), ChatForge (self-hosted AI chat). Kafka, K8s, Microservices

GitHub Repo https://github.com/NeoisDead/nyc-taxi-numpy-analysis

NeoisDead/nyc-taxi-numpy-analysis

Analyzed real-world NYC taxi ride data using NumPy to extract meaningful insights and perform high-performance numerical computations. Implemented vectorized operations to efficiently process large datasets and avoid traditional loop-based computations.

GitHub Repo https://github.com/harshsingh9151/nyc-taxi-numpy-analysis

harshsingh9151/nyc-taxi-numpy-analysis

This project analyzes 100k+ NYC taxi trips using NumPy for high-speed numerical processing. By leveraging vectorization and boolean indexing, I calculated a 32 mph average speed, identified 11,832 JFK drop-offs, and filtered 13,333 February rides. It demonstrates efficient data wrangling and feature engineering without slow Python loops.

GitHub Repo https://github.com/NehemiahDaGoat/VectorRideshareDataAnalysis