
pandas  The standard data analysis and manipulation tool numpy  scientific computing library seaborn  statistical data visualization sklearn  basic machine learning and predictive analysis CausalML  a suite of uplift modeling and causal inference methods PyTorch  professional deep learning framework PivotTablejs  Drag’n’drop Pivot Tables and Charts for Jupyter/IPython Notebook LazyPredict  build and work with and compare multiple models phidata  Build AI Assistants with memory, knowledge and tools. Lux  automates visualization and data analysis pycaret  lowcode machine learning library. really nice Cleanlab  for when you are working with messy data drawdata  draw a dataset from inside Jupyter pyforest  lazy import popular data science libs streamlit  simple ui builder, useful for demonstrating ML results

Scout Monitoring
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pandas  The standard data analysis and manipulation tool numpy  scientific computing library seaborn  statistical data visualization sklearn  basic machine learning and predictive analysis CausalML  a suite of uplift modeling and causal inference methods PyTorch  professional deep learning framework PivotTablejs  Drag’n’drop Pivot Tables and Charts for Jupyter/IPython Notebook LazyPredict  build and work with and compare multiple models phidata  Build AI Assistants with memory, knowledge and tools. Lux  automates visualization and data analysis pycaret  lowcode machine learning library. really nice Cleanlab  for when you are working with messy data drawdata  draw a dataset from inside Jupyter pyforest  lazy import popular data science libs streamlit  simple ui builder, useful for demonstrating ML results

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
pandas  The standard data analysis and manipulation tool numpy  scientific computing library seaborn  statistical data visualization sklearn  basic machine learning and predictive analysis CausalML  a suite of uplift modeling and causal inference methods PyTorch  professional deep learning framework PivotTablejs  Drag’n’drop Pivot Tables and Charts for Jupyter/IPython Notebook LazyPredict  build and work with and compare multiple models phidata  Build AI Assistants with memory, knowledge and tools. Lux  automates visualization and data analysis pycaret  lowcode machine learning library. really nice Cleanlab  for when you are working with messy data drawdata  draw a dataset from inside Jupyter pyforest  lazy import popular data science libs streamlit  simple ui builder, useful for demonstrating ML results

pandas  The standard data analysis and manipulation tool numpy  scientific computing library seaborn  statistical data visualization sklearn  basic machine learning and predictive analysis CausalML  a suite of uplift modeling and causal inference methods PyTorch  professional deep learning framework PivotTablejs  Drag’n’drop Pivot Tables and Charts for Jupyter/IPython Notebook LazyPredict  build and work with and compare multiple models phidata  Build AI Assistants with memory, knowledge and tools. Lux  automates visualization and data analysis pycaret  lowcode machine learning library. really nice Cleanlab  for when you are working with messy data drawdata  draw a dataset from inside Jupyter pyforest  lazy import popular data science libs streamlit  simple ui builder, useful for demonstrating ML results

pandas  The standard data analysis and manipulation tool numpy  scientific computing library seaborn  statistical data visualization sklearn  basic machine learning and predictive analysis CausalML  a suite of uplift modeling and causal inference methods PyTorch  professional deep learning framework PivotTablejs  Drag’n’drop Pivot Tables and Charts for Jupyter/IPython Notebook LazyPredict  build and work with and compare multiple models phidata  Build AI Assistants with memory, knowledge and tools. Lux  automates visualization and data analysis pycaret  lowcode machine learning library. really nice Cleanlab  for when you are working with messy data drawdata  draw a dataset from inside Jupyter pyforest  lazy import popular data science libs streamlit  simple ui builder, useful for demonstrating ML results

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