Here's a list of useful python libraries if you are working in ML
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 - low-code 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
This is just a snapshot. Let me know your favorites and I'll add them.
Thanks!
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