4 tips for creating an impressive data science portfolio on GitHub

This page summarizes the projects mentioned and recommended in the original post on dev.to

Our great sponsors
  • InfluxDB - Build time-series-based applications quickly and at scale.
  • SonarLint - Clean code begins in your IDE with SonarLint
  • Zigi - Workflow assistant built for devs & their teams
  • Scout APM - Truly a developer’s best friend
  • world-languages

    Data analysis & visualization on the vulnerability status of the world's languages

    So instead of investing more time on these datasets, pick a new one of your own interest, apply different models and answer questions that you'd find insightful. I personally focused on projects that reflect my interest in Linguistics and NLP – you can explore data related to your experience or the industry you'd like to work in.

  • speech-emotion-recognition

    A program that uses neural networks to detect emotions from pre-recorded and real-time speech

    So instead of investing more time on these datasets, pick a new one of your own interest, apply different models and answer questions that you'd find insightful. I personally focused on projects that reflect my interest in Linguistics and NLP – you can explore data related to your experience or the industry you'd like to work in.

  • InfluxDB

    Build time-series-based applications quickly and at scale.. InfluxDB is the Time Series Data Platform where developers build real-time applications for analytics, IoT and cloud-native services in less time with less code.

  • psych-verbs

    Research experiment design and classification of Romanian emotion verbs

    For example, for my research project on psych-verbs I wrote a paper-like README targeted at academics/fellow linguists, whereas for my movie recommender system I wrote an informal short description and included a screencast, aimed at a general audience.

  • movie-recommender

    Movie recommender system based on Non-Negative Matrix Factorization and Singular Value Decomposition, with a Flask web interface (by lorenanda)

    For example, for my research project on psych-verbs I wrote a paper-like README targeted at academics/fellow linguists, whereas for my movie recommender system I wrote an informal short description and included a screencast, aimed at a general audience.

NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

Suggest a related project

Related posts