psych-verbs
movie-recommender
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| psych-verbs | movie-recommender | |
|---|---|---|
| 1 | 1 | |
| 0 | 6 | |
| - | - | |
| 0.0 | 6.1 | |
| almost 3 years ago | over 3 years ago | |
| Jupyter Notebook | Python | |
| MIT License | MIT License |
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.
psych-verbs
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4 tips for creating an impressive data science portfolio on GitHub
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
-
4 tips for creating an impressive data science portfolio on GitHub
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.
What are some alternatives?
Fake-News-Detection - To combat the spread of fake news, it’s critical to determine the information’s legitimacy, which this Data Science project can help with. To do so, Python can be used, and a model is created using TfidfVectorizer.LogisticRegression model is used to train and test the data ,numpy,pandas and some other packages are used in this project.
recommendation-algorithm - Collaborative filtering recommendation system. Recommendation algorithm using collaborative filtering. Topics: Ranking algorithm, euclidean distance algorithm, slope one algorithm, filtragem colaborativa.
speech-emotion-recognition - A program that uses neural networks to detect emotions from pre-recorded and real-time speech
implicit - Fast Python Collaborative Filtering for Implicit Feedback Datasets
Empirical_Study_of_Ensemble_Learning_Methods - Training ensemble machine learning classifiers, with flexible templates for repeated cross-validation and parameter tuning
letterboxd_recommendations - Scraping publicly-accessible Letterboxd data and creating a movie recommendation model with it that can generate recommendations when provided with a Letterboxd username
dtreeviz - A python library for decision tree visualization and model interpretation.
LT-OCF - LT-OCF: Learnable-Time ODE-based Collaborative Filtering, CIKM'21
MouseView.js - Attentional mouse tracking. Alternative to online eye tracking. Eye tracking without the eyes!
world-languages - Data analysis & visualization on the vulnerability status of the world's languages
mars - Mars is a tensor-based unified framework for large-scale data computation which scales numpy, pandas, scikit-learn and Python functions.