Packt Data Science 101 Methodology Python and Essential Math-XQZT

Another exquisit release
Packt.Data.Science.101.Methodology.Python.and.Essential.Math-XQZT
     Title: Data Science 101: Methodology, Python, and Essential Math
 Publisher: Packt
  Category: Data
      Size: 9771M
     Files: 18F
      Date: 2022-04-29
  Course #: 9781803242125
 Published: Packt
   Updated: N/A
       URL: https://www.packtpub.com/video/data/9781803242125
    Author: Ermin Dedic
  Duration: 14 hours 49 minutes
 Exer/Code: [X]
Installation:
Unpack that shit, run that shit
Description:
From data science methodology to an introduction to data
science in Python, to essential math for data science

81M	01.01-matching_activity-match_the_project_to_the_data_role.mkv
62M	01.02-introduction_to_data_science.mkv
51M	01.03-what_a_data_scientist_does.mkv
54M	01.04-big_data.mkv
97M	01.05-data_mining.mkv
90M	01.06-machine_learning_versus_deep_learning.mkv
104M	01.07-advice_to_data_scientists.mkv
29M	02.01-what_is_the_best_language_for_data_science.mkv
25M	02.02-python.mkv
36M	02.03-sas_(statistical_analysis_system).mkv
26M	02.04-r.mkv
39M	02.05-sql.mkv
153M	03.01-data_science_methodologyprocess_introduction.mkv
138M	03.02-business_understanding.mkv
133M	03.03-data_understanding.mkv
198M	03.04-data_prep.mkv
172M	03.05-modelling.mkv
222M	03.06-evaluation.mkv
171M	03.07-deployment.mkv
168M	04.01-purpose_of_chatbot_section.mkv
67M	04.02-what_is_a_chatbot.mkv
26M	04.03-signing_up_for_watson_assistant.mkv
37M	04.04-creating_a_name-healthcare_service_chatbot.mkv
66M	04.05-intents.mkv
81M	04.06-entities.mkv
29M	04.07-suggestions_for_more_learning.mkv
132M	04.08-section_recap_natural_language_processing_machine_learning_and_use_cases.mkv
119M	05.01-libraries.mkv
81M	05.02-apis.mkv
150M	05.03-datasets.mkv
31M	06.01-introduction_to_github.mkv
45M	06.02-create_a_repository.mkv
65M	06.03-create_a_branch_and_commit_changes.mkv
60M	06.04-pull_request_and_merging_pull_request.mkv
23M	07.01-windows-download_anaconda_distribution_(includes_python).mkv
48M	07.02-windows-install_anaconda_distribution.mkv
34M	07.03-windows-setting_up_environment.mkv
16M	07.04-windows-opening_jupyter_notebook.mkv
81M	07.05-macos-anaconda_download_and_install.mkv
71M	07.06-macos-conda_environment.mkv
26M	07.07-macos-jupyter_notebook.mkv
94M	07.08-jupyter_notebook_interface_and_shortcuts.mkv
14M	08.01-how_to_use_markdown_cells_(adding_headers_links_and_images).mkv
36M	08.02-comments-inline_and_block_comments.mkv
23M	08.03-python_indentation.mkv
20M	08.04-writing_single_and_multiple_lines_of_code.mkv
15M	08.05-understanding_variables.mkv
35M	08.06-main_data_types_and_creating_them_(integer_float_string_list_dictionary).mkv
89M	08.07-lists-how_to_use.mkv
37M	08.08-dictionaries-how_to_use.mkv
8.5M	08.09-creating_a_tuple.mkv
49M	08.10-tuple-how_to_use.mkv
14M	08.11-creating_a_set.mkv
21M	08.12-set-how_to_use.mkv
104M	08.13-operators.mkv
23M	09.01-introducing_decision_and_looping_structures.mkv
28M	09.02-if_statement.mkv
21M	09.03-else_statement.mkv
19M	09.04-elif.mkv
17M	09.05-for_loop.mkv
26M	09.06-while_loop.mkv
28M	09.07-break_and_continue_statements.mkv
20M	10.01-introducing_functions.mkv
26M	10.02-functions-general_syntax.mkv
18M	10.03-and1_function.mkv
25M	10.04-fav_band_function.mkv
23M	10.05-celsius_to_fahrenheit_function.mkv
30M	10.06-optional_return_statement_(and_comparing_it_to_print_statement).mkv
98M	10.07-defining_a_function_versus_calling_a_function.mkv
142M	10.08-practicalreal_world_example_function_to_get_reddit_data.mkv
16M	10.09-lambda_introduction_(anonymous_functions).mkv
56M	10.10-formal_function_versus_lambda_for_splitting_strings.mkv
14M	11.01-introducing_you_to_nested_data_and_iteration.mkv
38M	11.02-simple_nested_example.mkv
33M	11.03-double_indexing.mkv
22M	11.04-assigning_values.mkv
72M	11.05-list_of_dicts_and_dicts_of_dicts_example.mkv
41M	11.06-nested_iteration-iterating_through_list_of_lists.mkv
46M	11.07-defining_list_comprehension_and_syntax.mkv
31M	11.08-list_comprehension-simple_examples.mkv
33M	11.09-list_comp_as_an_alternative_to_loops.mkv
30M	11.10-practicalreal_world_example-using_common_mathematical_notation.mkv
49M	11.11-practicalreal_world_example-creating_a_constrained_id.mkv
50M	11.12-activity_building_intuition_(loops_nested_data_iteration_and_list_comp).mkv
23M	12.01-introducing_numpy.mkv
22M	12.02-creating_our_first_numpy_array.mkv
39M	12.03-shaping_an_array_(when_you_know_the_shape_you_want).mkv
16M	12.04-creating_a_sequence_of_integers_and_floats.mkv
35M	12.05-element-wise_operations.mkv
17M	12.06-a_range_with_a_shape_(arrange_function_with_reshape_function).mkv
31M	12.07-numpy_indexing.mkv
16M	12.08-numpy_slicing.mkv
58M	12.09-indexing_and_slicing_with_breast_cancer_wisconsin_dataset.mkv
57M	12.10-delete_elements.mkv
33M	12.11-append.mkv
67M	12.12-insert_elements.mkv
47M	12.13-reshape-1_feature.mkv
21M	12.14-flatten.mkv
20M	12.15-transpose.mkv
69M	12.16-concatenate.mkv
45M	12.17-splitting.mkv
32M	12.18-aggregatestatistical_functions.mkv
9.0M	13.01-introducing_pandas.mkv
89M	13.02-for_sas_programmers_analogous_terms_in_pandas_(python).mkv
28M	13.03-using_series_as_input_into_dataframe.mkv
57M	13.04-comparing_series_and_dataframe.mkv
31M	13.05-importing_tsla_dataset.mkv
21M	13.06-index-based_selection_(iloc).mkv
39M	13.07-label-based_selection_(loc).mkv
55M	13.08-conditional_selection.mkv
37M	13.09-summary_functions.mkv
25M	13.10-grouping_(groupby).mkv
21M	13.11-sorting.mkv
33M	13.12-checking_data_types_and_converting.mkv
74M	13.13-dealing_with_missing_values.mkv
45M	13.14-dropping_columnsvariables_and_recordsrows.mkv
45M	13.15-renaming_columnsvariables_and_recordsrows.mkv
132M	13.16-concat_function_and_pop_quiz.mkv
59M	13.17-real-world_activity_add_new_columns_and_predict_stock_movement.mkv
96M	14.01-solution-fill_in_activity-fundamentals.mkv
153M	14.02-solution-fill_in_activity-looping_and_functions.mkv
42M	14.03-solution-fill_in_activity-nested_and_list_comprehension.mkv
118M	14.04-solution-fill_in_activity-numpy.mkv
49M	15.01-linear_equation_definition.mkv
38M	15.02-forms_of_a_linear_equation.mkv
25M	15.03-systems_of_linear_equations.mkv
29M	15.04-line_and_plane.mkv
50M	15.05-aij_notation.mkv
47M	15.06-system_of_equations_as_a_matrix.mkv
68M	15.07-system_in_corresponding_forms.mkv
57M	15.08-row_echelon_form_(gaussian_elimination).mkv
37M	15.09-reduced_row_echelon_form.mkv
31M	15.10-row_operations_rules.mkv
86M	15.11-row_operations_example_(ref).mkv
22M	15.12-visualizing_ax_b.mkv
106M	15.13-general_formula-matrix_vector_multiplication.mkv
67M	15.14-tips_for_row_operations.mkv
120M	16.01-mathematical_structures.mkv
22M	16.02-abelian_groups_and_fields.mkv
35M	16.03-vector_spaces_1.mkv
46M	16.04-vector_spaces-concrete_example.mkv
57M	16.05-subspaces.mkv
49M	16.06-linear_combinations_and_span.mkv
38M	16.07-is_it_in_the_span.mkv
29M	16.08-linear_independence.mkv
37M	16.09-a_basis_for_a_vector_space.mkv
94M	16.10-dim_of_c(a)_and_n(a).mkv
17M	16.11-the_dimension_of_a_vector_space.mkv
62M	16.12-linear_maps.mkv
55M	16.13-the_four_fundamental_subspaces.mkv
13M	16.14-adding_geometry_to_vector_spaces.mkv
120M	16.15-orthogonal_projection-how_to_derive_projection_and_check_for_orthogonality.mkv
22M	16.16-least_squares.mkv
48M	16.17-least_squares_through_pseudoinverse-with_python_and_sas_code.mkv
87M	17.01-probability_models_and_axioms.mkv
35M	17.02-simple_counting.mkv
85M	17.03-discrete_example.mkv
25M	17.04-conditional_bayes.mkv
43M	17.05-conditional_example_1.mkv
144M	17.06-conditional_healthcare_(cancer)_example_2.mkv
89M	17.07-independence_of_events_(what_it_means_and_does_not_mean).mkv
66M	17.08-permutations_and_combinations.mkv
42M	18.01-random_variables.mkv
50M	18.02-probability_mass_function_and_discrete_r.v.s.mkv
43M	18.03-expectation_and_variance_for_discrete_random_variables.mkv
27M	18.04-joint_pmfs_(multiple_discrete_variables).mkv
34M	18.05-continuous_random_variables.mkv
30M	18.06-continuous_random_variables_and_probability_density_function.mkv
41M	18.07-continuous_r.v._example.mkv
112M	18.08-joint_pdf_example-banking.mkv
43M	18.09-cumulative_distribution_function_(cdf).mkv
109M	18.10-covariance_correlation_and_more_on_variance.mkv
31M	18.11-law_of_large_numbers_(lln).mkv
43M	18.12-central_limit_theorem_(clt).mkv
77M	19.01-statistical_inference.mkv
36M	19.02-bayesian_estimator.mkv
85M	19.03-example-bayesian_estimator.mkv
41M	19.04-mean_squared_error___variance._why.mkv
12M	9781803242125_Code.zip
9.6G	total