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DIRECTORY.md

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## [Fractals](fractals)
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* [Barnsley Fern](fractals/barnsley_fern.py)
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* [Hilbert Curve](fractals/hilbert_curve.py)
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* [Julia Sets](fractals/julia_sets.py)
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* [Koch Snowflake](fractals/koch_snowflake.py)
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* [Mandelbrot](fractals/mandelbrot.py)
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* [Gradient Descent](machine_learning/gradient_descent.py)
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* [K Means Clust](machine_learning/k_means_clust.py)
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* [K Medoids](machine_learning/k_medoids.py)
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* [K Nearest Neighbours](machine_learning/k_nearest_neighbours.py)
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* [K Nearest Neighbors](machine_learning/k_nearest_neighbors.py)
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* [Linear Discriminant Analysis](machine_learning/linear_discriminant_analysis.py)
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* [Linear Regression](machine_learning/linear_regression.py)
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* [Linear Regression Vectorized](machine_learning/linear_regression_vectorized.py)
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* Lstm
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* [Lstm Prediction](machine_learning/lstm/lstm_prediction.py)
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* [Mfcc](machine_learning/mfcc.py)
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* [Mini Batch Gradient Descent](machine_learning/mini_batch_gradient_descent.py)
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* [Multilayer Perceptron Classifier](machine_learning/multilayer_perceptron_classifier.py)
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* [Polynomial Regression](machine_learning/polynomial_regression.py)
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* [Principle Component Analysis](machine_learning/principle_component_analysis.py)
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* [Q Learning](machine_learning/q_learning.py)
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* [Random Forest Classifier](machine_learning/random_forest_classifier.py)
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* [Random Forest Regressor](machine_learning/random_forest_regressor.py)
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* [Scoring Functions](machine_learning/scoring_functions.py)
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* [Binary Multiplication](maths/binary_multiplication.py)
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* [Binomial Coefficient](maths/binomial_coefficient.py)
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* [Binomial Distribution](maths/binomial_distribution.py)
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* [Binomial Expansion](maths/binomial_expansion.py)
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* [Ceil](maths/ceil.py)
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* [Chebyshev Distance](maths/chebyshev_distance.py)
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* [Check Polygon](maths/check_polygon.py)
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* [Interquartile Range](maths/interquartile_range.py)
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* [Is Int Palindrome](maths/is_int_palindrome.py)
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* [Is Ip V4 Address Valid](maths/is_ip_v4_address_valid.py)
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* [Is Ipv6 Address Valid](maths/is_ipv6_address_valid.py)
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* [Is Square Free](maths/is_square_free.py)
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* [Jaccard Similarity](maths/jaccard_similarity.py)
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* [Joint Probability Distribution](maths/joint_probability_distribution.py)
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* [Radix2 Fft](maths/radix2_fft.py)
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* [Recursive Digit Sum](maths/recursive_digit_sum.py)
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* [Remove Digit](maths/remove_digit.py)
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* [Reverse Factorial Recursive](maths/reverse_factorial_recursive.py)
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* [Segmented Sieve](maths/segmented_sieve.py)
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* Series
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* [Arithmetic](maths/series/arithmetic.py)

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