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)
data-engineer-challenge
Challenge Data Engineer (by Wittline)
| distance-metrics | data-engineer-challenge | |
|---|---|---|
| 1 | 3 | |
| 4 | 25 | |
| - | - | |
| 3.6 | 1.8 | |
| almost 2 years ago | almost 2 years ago | |
| Jupyter Notebook | Python | |
| 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.
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.
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.
-
Data Engineering Projects for Beginners
Understanding Similarity Measures for Text Analysis
data-engineer-challenge
Posts with mentions or reviews of data-engineer-challenge.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-06-15.
-
Data Engineering Projects for Beginners
Design, Development and Deployment of a simple Data Pipeline
- Design, Development and Deployment of a simple Data Pipeline
What are some alternatives?
When comparing distance-metrics and data-engineer-challenge you can also consider the following projects:
pyDag - Scheduling Big Data Workloads and Data Pipelines in the Cloud with pyDag
docker-livy - Dockerizing and Consuming an Apache Livy environment
recommendation-system - Build a Content-Based Movie Recommender System (TF-IDF, BM25, BERT)
Dropout-Students-Prediction - The goal of this project is to identify students at risk of dropping out the school
livyc - Apache Spark as a Service with Apache Livy Client
data-engineering-challenge-th - Dockerizing a Python Script for Web Scraping and consume the scraped data using FastApi (www.metroscubicos.com)
text-analysis-speeches-amlo - Text analysis of the speeches, conferences and interviews of the current president of Mexico
distance-metrics vs pyDag
data-engineer-challenge vs docker-livy
distance-metrics vs recommendation-system
data-engineer-challenge vs Dropout-Students-Prediction
distance-metrics vs docker-livy
data-engineer-challenge vs livyc
distance-metrics vs data-engineering-challenge-th
data-engineer-challenge vs text-analysis-speeches-amlo
distance-metrics vs Dropout-Students-Prediction
data-engineer-challenge vs data-engineering-challenge-th
data-engineer-challenge vs pyDag