|
695 | 695 | * Forecasting |
696 | 696 | * [Run](machine_learning/forecasting/run.py) |
697 | 697 | * [Frequent Pattern Growth](machine_learning/frequent_pattern_growth.py) |
| 698 | + * [Gaussian Mixture Model](machine_learning/gaussian_mixture_model.py) |
698 | 699 | * [Gaussian Naive Bayes](machine_learning/gaussian_naive_bayes.py) |
699 | 700 | * [Gradient Boosting Classifier](machine_learning/gradient_boosting_classifier.py) |
700 | 701 | * [Gradient Boosting Regressor](machine_learning/gradient_boosting_regressor.py) |
|
742 | 743 | * [Bailey Borwein Plouffe](maths/bailey_borwein_plouffe.py) |
743 | 744 | * [Base Neg2 Conversion](maths/base_neg2_conversion.py) |
744 | 745 | * [Basic Maths](maths/basic_maths.py) |
| 746 | + * [Bearing](maths/bearing.py) |
745 | 747 | * [Binary Exponentiation](maths/binary_exponentiation.py) |
746 | 748 | * [Binary Multiplication](maths/binary_multiplication.py) |
747 | 749 | * [Binomial Coefficient](maths/binomial_coefficient.py) |
|
878 | 880 | * [Hexagonal Numbers](maths/series/hexagonal_numbers.py) |
879 | 881 | * [Logarithmic Series](maths/series/logarithmic_series.py) |
880 | 882 | * [P Series](maths/series/p_series.py) |
| 883 | + * [Shoelace Area](maths/shoelace_area.py) |
881 | 884 | * [Sieve Of Atkin](maths/sieve_of_atkin.py) |
882 | 885 | * [Sieve Of Eratosthenes](maths/sieve_of_eratosthenes.py) |
883 | 886 | * [Sigmoid](maths/sigmoid.py) |
|
909 | 912 | * [Pronic Number](maths/special_numbers/pronic_number.py) |
910 | 913 | * [Proth Number](maths/special_numbers/proth_number.py) |
911 | 914 | * [Triangular Numbers](maths/special_numbers/triangular_numbers.py) |
| 915 | + * [Trimorphic Number](maths/special_numbers/trimorphic_number.py) |
912 | 916 | * [Ugly Numbers](maths/special_numbers/ugly_numbers.py) |
913 | 917 | * [Weird Number](maths/special_numbers/weird_number.py) |
914 | 918 | * [Sum Of Arithmetic Series](maths/sum_of_arithmetic_series.py) |
|
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