uber-expenses-tracking VS distance-metrics

Compare uber-expenses-tracking vs distance-metrics and see what are their differences.

uber-expenses-tracking

The goal of this project is to track the expenses of Uber Rides and Uber Eats through data Engineering processes using technologies such as Apache Airflow, AWS Redshift and Power BI. (by Wittline)

distance-metrics

Distance metrics are one of the most important parts of some machine learning algorithms, supervised and unsupervised learning, it will help us to calculate and measure similarities between numerical values expressed as data points (by Wittline)
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uber-expenses-tracking distance-metrics
2 1
94 4
- -
2.6 3.6
almost 2 years ago almost 2 years ago
Jupyter Notebook Jupyter Notebook
Apache License 2.0 Apache License 2.0
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

uber-expenses-tracking

Posts with mentions or reviews of uber-expenses-tracking. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-06-15.

distance-metrics

Posts with mentions or reviews of distance-metrics. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-06-15.

What are some alternatives?

When comparing uber-expenses-tracking and distance-metrics you can also consider the following projects:

docker-livy - Dockerizing and Consuming an Apache Livy environment

pyDag - Scheduling Big Data Workloads and Data Pipelines in the Cloud with pyDag

airflow-docker - This is my Apache Airflow Local development setup on Windows 10 WSL2/Mac using docker-compose. It will also include some sample DAGs and workflows.

recommendation-system - Build a Content-Based Movie Recommender System (TF-IDF, BM25, BERT)

text-analysis-speeches-amlo - Text analysis of the speeches, conferences and interviews of the current president of Mexico

Dropout-Students-Prediction - The goal of this project is to identify students at risk of dropping out the school

data-engineer-challenge - Challenge Data Engineer

AWS Data Wrangler - pandas on AWS - Easy integration with Athena, Glue, Redshift, Timestream, Neptune, OpenSearch, QuickSight, Chime, CloudWatchLogs, DynamoDB, EMR, SecretManager, PostgreSQL, MySQL, SQLServer and S3 (Parquet, CSV, JSON and EXCEL).

data-engineering-challenge-th - Dockerizing a Python Script for Web Scraping and consume the scraped data using FastApi (www.metroscubicos.com)

dados-censup - Automação da ingestão de dados disponibilizados pelo INEP referente ao censo superior da educacão brasileira.