Efficient Python Tricks and Tools for Data Scientists
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Updated
Mar 11, 2022 - Jupyter Notebook
Efficient Python Tricks and Tools for Data Scientists
Machine Learning Classes Not Using Numpy, Scipy, or SKLearn to Help Gain Insights
A leverage from https://github.com/gutfeeling/word_forms and some brute force web scraping or Merriam-Webster and Dictionary.com
A Growing Collection Of Tools For Python And SQL Integrations
Animation engine for explanatory math videos
A Menu Tool for Machine Learning Regression Models
Python Simulation Tool for Fractured and Deformable Porous Media
Basic Linear Algebra Tools in Pure Python without Numpy or Scipy
A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.
An implementation of some of the tools used by the winner of the box plots competition using scikit-learn.
Python Code to Efficiently Inverse a Matrix
A multi-functional library for full-stack Deep Learning. Simplifies Model Building, API development, and Model Deployment.
Least Squares: Math to Pure Python without Numpy or Scipy
Python examples from my answers on Stackoverflow and other short scripts.
Create Beautiful Tkinter GUIs by Drag and Drop ☄️
Synthetic Data Generation for tabular, relational and time series data.
A Python class that implements SQL, SQLAlchemy, and Pandas to streamline SQL from Python Operations
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