Dropout-Students-Prediction VS data-engineer-challenge

Compare Dropout-Students-Prediction vs data-engineer-challenge and see what are their differences.

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Dropout-Students-Prediction data-engineer-challenge
1 3
18 25
- -
10.0 1.8
about 3 years ago almost 2 years ago
HTML Python
- 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.

Dropout-Students-Prediction

Posts with mentions or reviews of Dropout-Students-Prediction. 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-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.

What are some alternatives?

When comparing Dropout-Students-Prediction and data-engineer-challenge you can also consider the following projects:

pyspark-on-aws-emr - The goal of this project is to offer an AWS EMR template using Spot Fleet and On-Demand Instances that you can use quickly. Just focus on writing pyspark code.

docker-livy - Dockerizing and Consuming an Apache Livy environment

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.

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

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

livyc - Apache Spark as a Service with Apache Livy Client

apache-spark-docker - Dockerizing an Apache Spark Standalone Cluster

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

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

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