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MBKraus / Predicting_real_estate_prices_using_scikit-learn

Star 94

Predicting Amsterdam house / real estate prices using Ordinary Least Squares-, XGBoost-, KNN-, Lasso-, Ridge-, Polynomial-, Random Forest-, and Neural Network MLP Regression (via scikit-learn)

real-estate python machine-learning neural-network random-forest lasso xgboost polynomial ensemble-learning ols decision-trees ridge-regression polynomial-regression knn multi-layer-perceptron amsterdam predicting-housing-prices lasso-regression mlp-regressor knn-regression
  • Updated Apr 9, 2019
  • Python

jannikmi / multivar_horner

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Star 20
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allow multi coefficient polynomials

jannikmi
jannikmi commented Jan 28, 2021

a user might want to represent and evaluate multiple polynomials (different coefficients) with the same properties.
This is useful e.g. for gradients (= partial derivative polynomial for each dimension)!
add support for 2D coefficient arrays and adjust Numba jit compilation.
then the gradient can be returned as a single polynomial with the same exponents but 2D coefficients or multiple distinct

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enhancement help wanted good first issue

AdamWhiteHat / Polynomial

Star 6

Comprehensive univariate polynomial class. All arithmetic performed symbolically. Some advanced features include: Arithmetic of polynomial rings over a finite field, the Tonelli-Shanks algorithm, GCD, exponentiation by squaring, irreducibility checking, modular arithmetic (obviously) and polynomials from roots.

csharp math polynomials symbolic arithmetic polynomial gcd exponentiation polynomial-arithmetic symbolic-math modulus square-root legendre-symbol polynomial-rings generic-arithmetic-types biginteger-integer
  • Updated Dec 30, 2021
  • C#

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