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datadoubleconfirm | PokeData | |
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1 | 1 | |
55 | 1 | |
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4.5 | 0.0 | |
5 months ago | over 2 years ago | |
Jupyter Notebook | Jupyter Notebook | |
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.
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Make Your Own Tourist Map
Next, I needed location data for MRT stations. These were sourced here.
PokeData
What are some alternatives?
Data-extraction-and-text-analysis - The objective of this assignment is to extract textual data articles from the URL and perform text analysis to compute variables.
ML-Workspace - 🛠All-in-one web-based IDE specialized for machine learning and data science.
NBA-attendance-prediction - Attendance prediction tool for NBA games using machine learning. Full pipeline implemented in Python from data ingestion to prediction. Attained mean absolute error of around 800 people (about 5% capacity) on test set.
Data-Science-For-Beginners - 10 Weeks, 20 Lessons, Data Science for All!
danbooru-tags - An analysis of tags and metadata on Danbooru
Openstreetmap - The Rails application that powers OpenStreetMap
DataScienceProjects
gdal - GDAL is an open source MIT licensed translator library for raster and vector geospatial data formats.
H2O - H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.