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The Top 10 Data Analysis Jupyter Notebook Statistics Open Source Projects

Open source projects categorized as Data Analysis Jupyter Notebook Statistics
Categories  > Data Processing  > Data Analysis
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ydataai/ydata-profiling ⭐ 11,739
1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.
dependent packages 0 total releases 0 most recent commit over 2 years ago
r0f1/datascience ⭐ 3,955
Curated list of Python resources for data science.
dependent packages 0 total releases 0 most recent commit over 2 years ago
danielhanchen/hyperlearn ⭐ 1,387
2-2000x faster ML algos, 50% less memory usage, works on all hardware - new and old.
dependent packages 0 total releases 0 most recent commit almost 4 years ago
tommyod/KDEpy ⭐ 515
Kernel Density Estimation in Python
dependent packages 0 total releases 0 most recent commit over 2 years ago
bansalkanav/Machine_Learning_and_Deep_Learning ⭐ 492
dependent packages 0 total releases 0 most recent commit over 2 years ago
ing-bank/popmon ⭐ 461
Monitor the stability of a Pandas or Spark dataframe ⚙︎
dependent packages 0 total releases 0 most recent commit almost 3 years ago
ACCLAB/DABEST-python ⭐ 329
Data Analysis with Bootstrapped ESTimation
dependent packages 0 total releases 0 most recent commit over 2 years ago
Yu-Group/covid19-severity-prediction ⭐ 226
Extensive and accessible COVID-19 data + forecasting for counties and hospitals. 📈
dependent packages 0 total releases 0 most recent commit over 2 years ago
Niketkumardheeryan/ML-CaPsule ⭐ 207
ML-capsule is a Project for beginners and experienced data science Enthusiasts who don't have a mentor or guidance and wish to learn Machine learning. Using our repo they can learn ML, DL, and many related technologies with different real-world projects and become Interview ready.
dependent packages 0 total releases 0 most recent commit almost 3 years ago
pysal/esda ⭐ 189
statistics and classes for exploratory spatial data analysis
dependent packages 0 total releases 0 most recent commit over 2 years ago
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