To make a library of functions that are frequently used for data anlaysis and machine learning tasks
List of Functions and Structs
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
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)
1. create_layer (Struct)
1. activation_leaky_relu
2. activation_relu
3. activation_sigmoid
4. activation_tanh