GitHub / edems / pythonFunctionFitting_with_Least-Square
This task is dedicated to the development of a Python program for finding the best fits between training data and a collection of ideal functions. By minimizing the sum of all squared deviations (least-square) between the training data and the ideal functions, we can identify those functions that best fit the given data.
JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/edems%2FpythonFunctionFitting_with_Least-Square
PURL: pkg:github/edems/pythonFunctionFitting_with_Least-Square
Stars: 1
Forks: 0
Open issues: 0
License: None
Language: Python
Size: 128 KB
Dependencies parsed at: Pending
Created at: about 2 years ago
Updated at: 3 months ago
Pushed at: 3 months ago
Last synced at: 3 months ago
Topics: bokeh, numpy, pandas, python, sqlalchemy-python