GreyNSights
missingno
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GreyNSights | missingno | |
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1 | 5 | |
21 | 3,771 | |
- | - | |
0.0 | 1.9 | |
over 2 years ago | about 1 year ago | |
Python | Python | |
MIT License | MIT License |
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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.
GreyNSights
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Anyone here building something new on their own?
Hello, I work for a startup that is solving privacy preserving AI. Apart from that I am working on building a open source software called GreyNsigths (https://github.com/kamathhrishi/GreyNSights). Also I maintain and develop a open source library for secure multi party computation called SyMPC that allows users to train and evaluate encrypted neural networks in Pytorch.
missingno
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Differences Between Python Modules, Packages, Libraries, and Frameworks
missingno :is very handy for handling missing data points. It provides informative visualizations about the missing values in a dataframe, helping data scientists to spot areas with missing data. It is just one of the many great Python libraries for data cleaning.
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10 Python Libraries For Data Visualization
missingno The missingno library can deal with missing data and can quickly measure the wholeness of a dataset with a visual summary, instead of managing through a table. The data can be filtered and arranged based on completion or spot correlations with a dendrogram or heatmap. Download here > missingno
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For all the python/pandas users out there I just released a bunch of UI updates to the free visualizer, D-Tale
analysis of "Missing" data using the missingno package is now available in a sliding side panel enlarge or download PNG files for matrix/bar/heatmap/dendrogram charts generated using missingno
What are some alternatives?
dtale - Visualizer for pandas data structures
pandas-datareader - Extract data from a wide range of Internet sources into a pandas DataFrame.
seaborn - Statistical data visualization in Python
mlcourse.ai - Open Machine Learning Course
NumPy - The fundamental package for scientific computing with Python.
cheatsheets - Official Matplotlib cheat sheets
python-performance - Repository for the book Fast Python - published by Manning
Skytrax-Data-Warehouse - A full data warehouse infrastructure with ETL pipelines running inside docker on Apache Airflow for data orchestration, AWS Redshift for cloud data warehouse and Metabase to serve the needs of data visualizations such as analytical dashboards.
Django - The Web framework for perfectionists with deadlines.
qo - A simple task manager [Moved to: https://github.com/navxio/tasq]
Pandas - Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
Apache Superset - Apache Superset is a Data Visualization and Data Exploration Platform [Moved to: https://github.com/apache/superset]