pyDag VS Dropout-Students-Prediction

Compare pyDag vs Dropout-Students-Prediction and see what are their differences.

pyDag

Scheduling Big Data Workloads and Data Pipelines in the Cloud with pyDag (by Wittline)
Big Data Bigquery Cloud Dag data-engineering data-pipeline dataengineering dataproc dataproc-cluster directed-acyclic-graph google-cloud google-cloud-platform parallel-processing task-scheduler task-scheduling Workflow engine
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wittline.github.io
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Dropout-Students-Prediction

The goal of this project is to identify students at risk of dropping out the school (by Wittline)
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Source Code
wittline.github.io
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pyDag Dropout-Students-Prediction
2 1
24 18
- -
0.0 10.0
over 1 year ago almost 3 years ago
Python HTML
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.
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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.

pyDag

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

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.

What are some alternatives?

When comparing pyDag and Dropout-Students-Prediction you can also consider the following projects:

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

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.

livyc - Apache Spark as a Service with Apache Livy Client

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

pubsub2inbox - Pubsub2Inbox is a versatile, multi-purpose tool to handle Pub/Sub messages and turn them into email, API calls, GCS objects, files or almost anything.

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

p_tqdm - Parallel processing with progress bars

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

breaking_cycles_in_noisy_hierarchies - breaking cycles in noisy hierarchies

data-engineer-challenge - Challenge Data Engineer

pyDag vs distance-metrics Dropout-Students-Prediction vs pyspark-on-aws-emr pyDag vs docker-livy Dropout-Students-Prediction vs uber-expenses-tracking pyDag vs livyc Dropout-Students-Prediction vs recommendation-system pyDag vs pubsub2inbox Dropout-Students-Prediction vs apache-spark-docker pyDag vs p_tqdm Dropout-Students-Prediction vs text-analysis-speeches-amlo pyDag vs breaking_cycles_in_noisy_hierarchies Dropout-Students-Prediction vs data-engineer-challenge