chriskal96/international-flights

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2
Language
Python
Created about 3 years ago
Updated about 3 years ago

chriskal96/international-flights

chriskal96

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Analysis of international flights in 2017 using Apache Spark.

vehicle-routing

Python app that finds the 𝑘 best routes that maximizes profit for courier trucks.

fake-news

Detection of fake and real news using machine learning algorithms and techniques.

Jupyter Notebook

Rosetta-Stone-of-Human-Capital

Analysis based on the working paper "A Rosetta Stone of Human Capital", by Dev Patel and Justin Sandefur.

Jupyter Notebook

FEC16-Elections

Analysis of the FEC 2016 Elections data.

Jupyter Notebook

Exploring-Scotch-Whiskies

Analysis and data exploration using Machine Learning techniques based on the findings of a paper that appeared in 1996 from Pierre Legendre and F.-J. Lapointe, about classification of pure malt whiskeys.

Jupyter Notebook

physics-theory-citation-network

High energy physics theory citation network analysis using Neo4j Graph database.

motorcycle-ads

Analysis on data related to classified ads from the used motorcycles market using REDIS and MongoDB.

covid19-impact

Analysis of how Covid19 impact international flights.

supermarket-customers-similarity

Workflow that assess the similarity between supermarket customers.

Jupyter Notebook

chriskal96

claimer-detection

Claimer Detection using Natural Language Processing Models

Jupyter Notebook