├── .gitignore ├── README.md ├── slides ├── 00_welcome.md ├── 01_introduction_to_python.md ├── 02_python_basics.md ├── 03_python_variables_and_control_flow.md ├── 04_basic_functions.md ├── 05_intro_to_lists.md ├── 06_for_loops_accumulators.md ├── 07_list_methods_and_operations.md ├── 08_while_loops.md ├── 09_strings.md ├── 10_summary_stats_centrality.md ├── 11_more_strings.md ├── 12_data_structures.md ├── 13_more_data_structures.md ├── 14_data_structure_function_practice.md ├── 15_summary_stats_measures_of_spread.md ├── 16_accumulator_review.md ├── 17_intro_to_set_theory.md ├── 18_function_practice_1.md ├── 19_axioms_of_probability.md ├── 20_computing_basic_probability.md ├── 21_statistical_counting.md ├── 22_general_analytic_approach.md ├── 23_discrete_random_variables.md ├── 24_bernoulli_and_binomial.md ├── 25_poisson_distribution.md ├── 26_python_classes_for_stats_functions.md ├── 27_tests_and_errors.md ├── 28_function_practice_2.md ├── 29_geometric_distribution.md ├── 30_conditional_probability_bayes.md ├── 31_continuous_distributions.md ├── 32_intro_to_machine_learning.md ├── 32_intro_to_machine_learning_.md ├── 33_technical_interview_review.md └── images │ ├── beginners_creed.png │ ├── formula_binomial_cdf.png │ ├── formula_binomial_pmf.png │ ├── formula_combinations.png │ ├── google_things.png │ ├── if_flow.png │ ├── interpreted_language.png │ ├── logic_gates.jpeg │ ├── ml_slides_21_0.png │ ├── ml_slides_21_1.png │ ├── ml_slides_21_2.png │ ├── ml_slides_21_3.png │ ├── ml_slides_21_4.png │ ├── ml_slides_21_5.png │ ├── ml_slides_31_0.png │ ├── ml_slides_5_0.png │ ├── normal_table.png │ ├── sign_up_for_repl.png │ ├── statsvsmlvsai.jpeg │ ├── venn_diagram_complement.png │ ├── venn_diagram_cond_proba.png │ ├── venn_diagram_difference.png │ ├── venn_diagram_intersection.png │ ├── venn_diagram_law_of_total_proba.png │ ├── venn_diagram_union.png │ ├── venn_diagram_union_mult.png │ └── xkcd_curve_fitting.png └── src ├── python ├── README.md ├── day_01_lib.py ├── day_02_lib.py ├── day_03_lib.py ├── day_04_lib.py ├── day_05_lib.py ├── day_06_lib.py ├── day_07_lib.py ├── day_08_lib.py ├── day_09_lib.py ├── day_10_lib.py ├── day_11_lib.py ├── day_12_lib.py └── main.py └── stats ├── 01_summary_stats ├── README.md └── summary_stats.py ├── 02_sets ├── README.md └── sets.py ├── 03_basic_probability ├── README.md ├── axioms_of_probability.py └── basic_proba.py ├── 04_statistical_counting ├── README.md └── perms_combs.py ├── 05_general_analytic_approach └── analytic_approach.py ├── 06_discrete_distributions ├── README.md ├── bernoulli.py ├── binomial.py ├── geometric.py └── poisson.py ├── 07_continuous_distributions ├── README.md ├── exponential.py ├── normal.py └── uniform.py ├── 08_crossval_intuition ├── README.md ├── data │ └── iris.data.txt ├── images │ └── xkcd_curve_fitting.png ├── markdown_example.md └── simple_crossval_and_ml_intuition.ipynb ├── 09_preparing_for_ti ├── README.md └── ti_prep.py └── README.md /.gitignore: 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