simple_ml 0.1.13

Functions required for data analysis and machine learning tasks
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## Description
> To make a library of functions that are frequently used for data anlaysis and machine learning tasks

## FEEDBACK : rd2575691@gmail.com

## List of Functions and Structs

### lib_matrix
    1. MatrixDeterminantF : 
        > determinant_f
            x determinant_2
            x determinant_3plus
        > is_square_matrix
        > round_off_f
        > inverse_f
            x identity_matrix
            x zero_matrix

    1. dot_product
    2. element_wise_operation
    3. matrix_multiplication
    4. pad_with_zero
    5. print_a_matrix
    6. shape_changer
    7. transpose
    8. vector_addition
    9. make_matrix_float
    10. make_vector_float
    11. round_off_f
    12. unique_values
    13. value_counts
    14. is_numerical
    15. min_max_f
    16. type_of
    17. element_wise_matrix_operation
    18. matrix_vector_product_f
### lib_ml
    1. coefficient
    2. convert_and_impute
    3. covariance
    4. impute_string
    5. mean
    6. read_csv
    7. root_mean_square
    8. simple_linear_regression_prediction
    9. variance
    10. convert_string_categorical 
    11. normalize_vector_f
    12. logistic_function_f
    13. log_gradient_f 
    14. cost_function_f (WIP)
    15. gradient_descent 
    16. logistic_predict 
    17. randomize
    18. train_test_split
    19. binary_logistic_regression (WIP)
### lib_nn
    1. LayerDetails :
        > create_weights
        > create_bias
        > output_of_layer

    1. activation_leaky_relu
    2. activation_relu
    3. activation_sigmoid
    4. activation_tanh