Dropout-Students-Prediction VS text-analysis-speeches-amlo

Compare Dropout-Students-Prediction vs text-analysis-speeches-amlo and see what are their differences.

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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text-analysis-speeches-amlo

Text analysis of the speeches, conferences and interviews of the current president of Mexico (by Wittline)
text-analysis NLP word-embeddings Python Speech speech-synthesis presidential-candidates president mexico mexico-datos mexico-estados mexican politics political-science
Source Code
wittline.github.io
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Dropout-Students-Prediction text-analysis-speeches-amlo
1 1
18 8
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10.0 3.2
about 3 years ago almost 2 years ago
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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.

text-analysis-speeches-amlo

Posts with mentions or reviews of text-analysis-speeches-amlo. 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 text-analysis-speeches-amlo 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.

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.

docker-livy - Dockerizing and Consuming an Apache Livy environment

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

data-engineer-challenge - Challenge Data Engineer

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

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

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