recommendation-system VS Dropout-Students-Prediction

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

recommendation-system

Build a Content-Based Movie Recommender System (TF-IDF, BM25, BERT) (by Wittline)
tf-idf bm25 Bert recommender-system text-analysis NLP Python recsys Word2vec
Source Code
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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recommendation-system Dropout-Students-Prediction
1 1
10 18
- -
3.6 10.0
almost 2 years ago about 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.
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.

recommendation-system

Posts with mentions or reviews of recommendation-system. 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 recommendation-system and Dropout-Students-Prediction you can also consider the following projects:

PolyFuzz - Fuzzy string matching, grouping, and evaluation.

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.

rank_bm25 - A Collection of BM25 Algorithms in Python

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

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

docker-livy - Dockerizing and Consuming an Apache Livy environment

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

data-engineer-challenge - Challenge Data Engineer

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

recommendation-system vs PolyFuzz Dropout-Students-Prediction vs pyspark-on-aws-emr recommendation-system vs rank_bm25 Dropout-Students-Prediction vs uber-expenses-tracking recommendation-system vs distance-metrics Dropout-Students-Prediction vs apache-spark-docker recommendation-system vs docker-livy Dropout-Students-Prediction vs text-analysis-speeches-amlo recommendation-system vs pyspark-on-aws-emr Dropout-Students-Prediction vs data-engineer-challenge recommendation-system vs data-engineering-challenge-th Dropout-Students-Prediction vs docker-livy