Efficient Python Tricks and Tools for Data Scientists
-
Updated
Mar 11, 2022 - Jupyter Notebook
Efficient Python Tricks and Tools for Data Scientists
An implementation of some of the tools used by the winner of the box plots competition using scikit-learn.
A leverage from https://github.com/gutfeeling/word_forms and some brute force web scraping or Merriam-Webster and Dictionary.com
A Menu Tool for Machine Learning Regression Models
A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.
A Growing Collection Of Tools For Python And SQL Integrations
Animation engine for explanatory math videos
Basic Linear Algebra Tools in Pure Python without Numpy or Scipy
Machine Learning Classes Not Using Numpy, Scipy, or SKLearn to Help Gain Insights
Python Simulation Tool for Fractured and Deformable Porous Media
Create Beautiful Tkinter GUIs by Drag and Drop ☄️
Python examples from my answers on Stackoverflow and other short scripts.
Least Squares: Math to Pure Python without Numpy or Scipy
A multi-functional library for full-stack Deep Learning. Simplifies Model Building, API development, and Model Deployment.
Python Code to Efficiently Inverse a Matrix
Synthetic Data Generation for tabular, relational and time series data.
Take a photo of food and learn about it.
Add a description, image, and links to the professional-programming topic page so that developers can more easily learn about it.
To associate your repository with the professional-programming topic, visit your repo's landing page and select "manage topics."