├── .gitattributes ├── 01_probability.pptx ├── 01_probability ├── 01_odds_to_prob.py ├── 02_joint_probability.py ├── 03_joint_combinations.py ├── 04_joint_probability_exponent.py ├── 05_EXERCISE_1.py ├── 06_union_probability.py ├── 07_union_probability_mutually_exclusive.py ├── 08_EXERCISE_2.py ├── 09_conditional_joint_probability.py ├── 10_EXERCISE_3.py ├── 11_bayes_theorem.py ├── 12_binomial_distribution.py ├── 13_beta_distribution.py ├── 14_EXERCISE_4.py ├── 15_normal_cdf.py ├── 16_central_limit_theorem.py ├── 17_EXERCISE_5.py ├── 18_EXERCISE_6.py └── solutions.md ├── 02_statistics_hypothesis_testing.pptx ├── 02_statistics_hypothesis_testing ├── 01_mean.py ├── 02_weighted_mean.py ├── 03_median.py ├── 04_mode.py ├── 05_variance.py ├── 06_standard_deviation.py ├── 07_EXERCISE_1.py ├── 08_normal_dist.py ├── 09_standard_normal_z_score.py ├── 10_normal_cdf.py ├── 11_normal_ppf_quantile.py ├── 12_EXERCISE_2.py ├── 13_EXERCISE_3.py ├── 13_central_limit_theorem.py ├── 14_critical_z_value.py ├── 15_confidence_interval.py ├── 16_confidence_interval_scipy.py ├── 18_one_sided_p_value.py ├── 19_two_sided_p_value.py ├── 21_confidence_interval_small_sample.py ├── 22_t_test.py ├── 23_EXERCISE_4.py ├── 24_EXERCISE_5.py └── EXERCISE_SOLUTIONS.md ├── 03_linear_algebra.pptx ├── 03_linear_algebra ├── 01_vector.py ├── 02_adding_vectors.py ├── 03_scale_vector.py ├── 04_matrix_vector_multiplication.py ├── 05_transforming_vectors.py ├── 06_sheer_rotate.py ├── 07_quiz_1_answer.py ├── 08_quiz_2_answer.py ├── 09_determinant.py ├── 10_determinant_no_change.py ├── 11_determinant_negative.py ├── 12_determinant_zero.py ├── 13_quiz_3_answer.py ├── 14_matrix_multiplication.py ├── 15_dot_product.py ├── 16_dot_product_reverse.py ├── 17_matrix_dot_product.py ├── 18_matrix_dot_product_diff_dimensions.py ├── 19_1_sympy_system_of_equations.py ├── 19_system_of_equations.py ├── 20_quiz_6_answer.py ├── 21_eigendecomposition.py ├── 22_linear_regression_direct_inverse.py ├── 23_linear_regression_qr_decomposition.py ├── task1.py ├── task2.py ├── task3.py ├── task4.py ├── task5.py ├── task6.py └── task_solutions.md ├── 04_calculus_and_functions.pptx ├── 04_calculus_and_functions ├── 01_natural_numbers.py ├── 02_integers.py ├── 03_rational_numbers.py ├── 04_irrational_number_pi.py ├── 05_real_numbers.py ├── 06_irrational_number.py ├── 07_variable_sympy.py ├── 08_function_sympy.py ├── 09_3d_function_sympy.py ├── 10_multiplying_exponents.py ├── 11_dividing_exponents.py ├── 12_fractional_exponents.py ├── 13_exponential_function_plot.py ├── 14_exponential_function_3d_plot.py ├── 15_log_function.py ├── 16_log_function_plot.py ├── 17_eulers_number_plain_python.py ├── 18_eulers_number_sympy.py ├── 19_natural_log_plain_python.py ├── 20_natural_log_sympy.py ├── 21_limit_approaching_0.py ├── 22_limit_deriving_eulers_number.py ├── 23_approximate_slope.py ├── 24_calculate_slope_using_limit.py ├── 25_calculate_derivative_sympy.py ├── 26_manual_derivative_python.py ├── 27_multivariable_partial_derivative.py ├── 28_gradient_descent_one_variable.py ├── 29_derivative_three_variables.py ├── 30_multivariable_gradient_descent.py ├── 31_reimann_sums.py ├── 32_reimann_sums_limits.py ├── 33_reimann_sums_sympy.py ├── task1.py ├── task2.py ├── task3.py ├── task4.py └── task_solutions.md └── extended ├── .DS_Store ├── 05_linear_regression.pptx ├── 05_linear_regression ├── 01_linear_regression_from_scratch.py ├── 02_linear_regression_sklearn.py ├── 03_charting_plotly.py ├── 04_multiple_linear_regression.py ├── 05_multiple_linear_regression_sklearn.py ├── 06_train_test_split.py ├── 07_cross_validation.py ├── 08_leave_one_out_cross_validation.py ├── 09_random_fold_validation.py ├── 10_mean_absolute_error.py ├── 11_mean_squared_error.py ├── 12_pearson_matrix.py ├── 13_r2_by_hand.py ├── 14_r2_3fold.py ├── 15_r2_cross_validation.py ├── 16_statistical_significance.py ├── 17_exercise_answer.py ├── 18_rescaling.py ├── 19_standardization.py ├── 20_unit_vector_normalization.py ├── 21_l2_ridge_regression.py ├── 22_l1_lasso_regression.py ├── 23_gradient_descent_linear_regression.py ├── 24_stochastic_gradient_descent_linear_regression.py ├── task1.py ├── task2.py ├── task3.py ├── task4.py └── task_solutions.md ├── 06_logistic_regression.pptx └── 06_logistic_regression ├── 01_logistic_regression_from_scratch.py ├── 02_logistic_regression_sklearn.py ├── 03_multiple_logistic_regression_from_scratch.py ├── 04_multiple_logistic_regression_sklearn.py ├── 05_plot_logistic_regression.py ├── 06_space_shuttle_challenger.py ├── 07_train_test_67_33_split.py ├── 08_k_fold.py ├── 09_leave_one_out_cv.py ├── 10_random_train_test_splits.py ├── 11_logloss.py ├── 12_auc_roc.py ├── 13_confusion_matrix.py ├── 14_classification_report.py ├── 15_imbalanced_criminality_dataset.py ├── 16_model_selection.py ├── logistic_regression_gradient_descent.py ├── task1.py ├── task2.py ├── task3.py └── task_solutions.md /.gitattributes: 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