Uber Ride Data Analysis using Python – Exploratory Data Analysis, Visualizations, and Machine Learning-based ride demand insights.
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Updated
Feb 8, 2026 - Jupyter Notebook
Uber Ride Data Analysis using Python – Exploratory Data Analysis, Visualizations, and Machine Learning-based ride demand insights.
👥🚖Data Analysis on Uber Data
In this Project i will do analysis on Uber data, will use some library which are mentioned below
Advanced Uber trip analysis using Python (Random Forest Regressor) and Power BI dashboard for demand forecasting.
This repository contains Uber Data Analysis using various Machine learning Algorithms
Data analysis on Uber ride data using Python and visualization libraries.
Power BI dashboard analysing Uber bookings, revenue, trip patterns, and time-based trends using DAX, dynamic measures, drill-through, and time-based analysis on 100K+ Uber trip records.
Performed data analytics on Uber data using various tools and technologies, including GCP Storage, Python, Compute Instance, Mage Data Pipeline Tool, BigQuery, and Looker Studio.
Power BI project analyzing Uber trip data to uncover booking trends, revenue patterns, and trip efficiency using dynamic dashboards, DAX, data model, drill-through, and bookmarks.
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