Reilly Learning Path Data Science with | F7EC07E51770A786F9C51F63B800570EC837642A

Reilly Learning Path Data Science with

Name	O'Reilly - Learning Path - Data Science with R	DOWNLOAD Copy Link
Total Size	6.2 GB
Total Files	200
Last Seen	2025-02-20 00:34
Hash	F7EC07E51770A786F9C51F63B800570EC837642A

/01. Learning to Program with R, by Stuart Greenlee/
001_introduction_and_course_overview.mp4	5.8 MB
002_about_the_author.mp4	1.7 MB
003_installing_r_and_r_studio.mp4	14.6 MB
004_navigating_r_studio.mp4	17.0 MB
005_packages.mp4	17.0 MB
006_assigning_variables.mp4	10.6 MB
007_numbers_strings_and_booleans.mp4	18.8 MB
008_workspace_operations.mp4	32.5 MB
009_how_to_access_your_working_files.mp4	4.9 MB
010_basic_operators.mp4	13.3 MB
011_vectors.mp4	21.0 MB
012_sequences.mp4	19.3 MB
013_basic_statistical_functions.mp4	13.9 MB
014_matrices.mp4	14.8 MB
015_matrix_operations.mp4	18.4 MB
016_basic_matrix_statistics.mp4	15.5 MB
017_generating_random_numbers.mp4	30.7 MB
018_string_functions.mp4	24.4 MB
019_dates_and_times.mp4	31.0 MB
020_line_plots.mp4	28.0 MB
021_plotting_arguments.mp4	15.5 MB
022_bar_graphs_and_histograms.mp4	28.8 MB
023_scatter_plots.mp4	30.6 MB
024_probability_plots.mp4	19.1 MB
025_combining_and_saving_plots.mp4	19.7 MB
026_arrays.mp4	12.4 MB
027_lists.mp4	12.5 MB
028_data_frames.mp4	23.7 MB
029_data_import.mp4	18.4 MB
030_missing_data_part_1.mp4	12.0 MB
031_missing_data_part_2.mp4	14.5 MB
032_ordering_and_sorting.mp4	15.7 MB
033_subsetting_and_indexing.mp4	18.6 MB
034_merging_data.mp4	14.6 MB
035_examining_files_and_objects.mp4	14.4 MB
036_descriptive_statistics.mp4	24.0 MB
037_apply_functions.mp4	14.4 MB
038_linear_models.mp4	23.6 MB
039_extracting_model_information.mp4	21.6 MB
040_principal_componant_analysis.mp4	7.9 MB
041_xts_objects.mp4	14.4 MB
042_acf_plots.mp4	10.6 MB
043_decomposition.mp4	12.0 MB
044_exponential_smoothing.mp4	14.7 MB
045_rolling_functions.mp4	19.6 MB
046_arima_models.mp4	17.2 MB
047_if_statements.mp4	19.4 MB
048_for_loops.mp4	12.7 MB
049_while_loops.mp4	9.9 MB
050_appending_loops.mp4	13.2 MB
051_writing_functions.mp4	14.1 MB
052_debugging_functions.mp4	19.6 MB
053_recursive_functions.mp4	7.4 MB
054_saving_different_types_of_data.mp4	6.7 MB
055_additional_resources.mp4	5.6 MB
Working_Files.zip	70.3 KB
/02. Introduction to Data Science with R, by Garrett Grolemund/
056_introduction_to_the_course.mp4	15.7 MB
057_orientation_to_r.mp4	14.0 MB
058_data_structures_and_types.mp4	16.8 MB
059_lists_and_data_frames.mp4	68.0 MB
060_subsetting_1.mp4	91.0 MB
061_subsetting_2.mp4	36.3 MB
062_r_packages.mp4	23.7 MB
063_logical_tests.mp4	148.6 MB
064_missing_values.mp4	53.5 MB
065_introduction_to_ggplot2.mp4	50.1 MB
066_aesthetics.mp4	75.5 MB
067_facetting.mp4	33.5 MB
068_geoms.mp4	68.8 MB
069_position_adjustments.mp4	36.7 MB
070_visualizing_distributions.mp4	83.6 MB
071_visualizing_big_data.mp4	44.3 MB
072_saving_graphs.mp4	35.8 MB
073_visualizing_map_data.mp4	58.1 MB
074_titles_and_coordinate_systems.mp4	49.0 MB
075_scales_and_color_schemes.mp4	59.2 MB
076_themes.mp4	36.6 MB
077_axis_labels_and_legends.mp4	42.3 MB
078_further_learning.mp4	14.9 MB
079_reading_in_data.mp4	39.6 MB
080_melt.mp4	78.1 MB
081_dcast.mp4	37.1 MB
082_rbind_and_cbind.mp4	10.8 MB
083_saving_data.mp4	26.5 MB
084_line_plots.mp4	40.9 MB
085_filter_and_select.mp4	5.4 MB
086_arrange_mutate_and_summarize.mp4	32.9 MB
087_joining_data_sets.mp4	66.7 MB
088_grouping_data.mp4	43.5 MB
089_the_tbl_format.mp4	19.6 MB
090_advanced_manipulations.mp4	56.8 MB
091_introduction_to_modeling.mp4	46.3 MB
092_linear_models_and_model_syntax.mp4	28.7 MB
093_model_inference.mp4	89.4 MB
094_categorical_variables.mp4	34.2 MB
095_multivariate_models.mp4	83.6 MB
096_introduction_to_variable_selection.mp4	51.2 MB
097_best_subsets_selection.mp4	28.3 MB
098_stepwise_selection.mp4	54.0 MB
099_penalized_regression.mp4	6.7 MB
100_nonlinear_models.mp4	29.4 MB
101_logistic_regression.mp4	41.1 MB
102_modeling_resources.mp4	15.7 MB
103_resources_for_r.mp4	23.6 MB
Intro-master.zip	57.6 MB
/03. Expert Data Wrangling with R, by Garrett Grolemund/
104_introduction.mp4	30.6 MB
105_two_new_conventions.mp4	50.9 MB
106_data_science_for_data_wranglers.mp4	65.5 MB
107_the_dplyr_package.mp4	8.1 MB
108_select_variables.mp4	52.2 MB
109_filter_observations.mp4	53.8 MB
110_derive_variables.mp4	33.0 MB
111_summarize_observations.mp4	50.6 MB
112_group_observations.mp4	95.3 MB
113_rearrange_observations.mp4	26.3 MB
114_case_study_1_tb_counts.mp4	47.8 MB
115_data_science_for_data_wranglers_part_2_units_of_analysis.mp4	67.1 MB
116_data_science_for_data_wranglers_part_3_tidy_data.mp4	43.2 MB
117_reshape_the_layout_of_your_data.mp4	82.3 MB
118_separate_and_unite_variables.mp4	35.3 MB
119_data_science_for_data_wranglers_part_4_the_best_format.mp4	93.6 MB
120_combine_data_sets.mp4	88.5 MB
121_case_study_2_tb_rates.mp4	67.7 MB
122_data_science_for_data_wranglers_part_5_the_structure_of_visualizations.mp4	17.4 MB
123_visualize_observations.mp4	44.5 MB
124_visualize_variables.mp4	68.6 MB
125_how_to_learn_more.mp4	51.9 MB
/04. Writing Great R Code, by Richard Cotton/
126_writing_great_r_code.mp4	209.3 MB
/05. Data Science with Microsoft Azure and R, by Stephen Elston/
127_introduction.mp4	16.3 MB
128_about_the_author.mp4	5.7 MB
129_introduction_to_azure_ml_studio.mp4	1.4 MB
130_experiments_and_workflows_in_azure_ml_studio.mp4	29.2 MB
131_azure_ml_modules.mp4	21.0 MB
132_data_io_in_azure_ml.mp4	28.2 MB
133_creating_and_evaluating_a_first_machine_learning_model.mp4	33.7 MB
134_documentation_and_examples.mp4	26.3 MB
135_editing_debugging_and_executing_r_in_azure_ml.mp4	13.8 MB
136_an_execute_r_script_example.mp4	19.5 MB
137_the_create_r_model_module.mp4	17.0 MB
138_overview_of_data_science_examples.mp4	16.2 MB
139_the_data_science_process.mp4	15.7 MB
140_introduction_to_data_transformation_and_cleaning.mp4	3.5 MB
141_dealing_with_metadata.mp4	15.6 MB
142_duplicate_and_missing_data.mp4	27.1 MB
143_standardization_and_transformation.mp4	22.2 MB
144_errors_and_outliers.mp4	18.4 MB
145_quantization_and_categories.mp4	22.1 MB
146_combining_data_joins.mp4	16.8 MB
147_introduction_to_apply_sql_transformation_module.mp4	16.6 MB
148_apply_sql_transformation_exercise.mp4	14.9 MB
149_intro_to_dplyr.mp4	29.1 MB
150_dplyr_example_part_1.mp4	9.7 MB
151_dplyr_example_part_2.mp4	21.6 MB
152_installing_r_packages.mp4	24.0 MB
153_reshaping_data_with_tidyr.mp4	38.2 MB
154_datetime_classes_in_azure_ml.mp4	17.0 MB
155_posixct_example.mp4	20.0 MB
156_intro_to_ggplot2.mp4	13.6 MB
157_ggplot2_exercise.mp4	17.0 MB
158_introduction_to_feature_selection_and_dimensionality_reduction.mp4	27.2 MB
159_exercise_filter_based_feature_selection.mp4	16.3 MB
160_exercise_randomforest_feature_selection.mp4	36.1 MB
161_projection_methods_for_dimensionality_reduction.mp4	19.2 MB
162_introduction_to_functional_programming_with_r.mp4	25.0 MB
163_functional_programming_example.mp4	33.5 MB
164_introduction_to_regression_example.mp4	16.6 MB
165_data_preparation_example.mp4	51.3 MB
166_examining_correlations.mp4	39.7 MB
167_time_series_plots.mp4	31.0 MB
168_understanding_features_with_box_plots.mp4	34.5 MB
169_other_exploratory_plots.mp4	31.7 MB
170_feature_selection_regression.mp4	24.0 MB
171_model_evaluation_with_time_series_plots.mp4	58.0 MB
172_model_evaluation_of_residuals_part_1.mp4	20.4 MB
173_model_evaluation_of_residuals_part_2.mp4	22.8 MB
174_introduction_to_improving_the_model.mp4	1.8 MB
175_using_an_r_model.mp4	30.6 MB
176_creating_a_new_azure_ml_model.mp4	19.5 MB
177_trimming_outliers.mp4	17.3 MB
178_optimizing_model_parameters.mp4	40.8 MB
179_further_improvements_and_summary.mp4	15.1 MB
180_introduction_to_r_object_serialization.mp4	7.4 MB
181_r_object_serialization_example.mp4	29.9 MB
182_introduction_to_classification_example.mp4	15.8 MB
183_data_preparation_part_1.mp4	14.2 MB
184_data_preparation_part_2.mp4	24.3 MB
185_exploring_the_data.mp4	41.6 MB
186_balance_cases.mp4	13.1 MB
187_feature_selection.mp4	31.6 MB
188_building_initial_models.mp4	27.8 MB
189_model_evaluation.mp4	52.7 MB
190_first_r_model.mp4	25.7 MB
191_improving_the_r_model.mp4	34.4 MB
192_summary.mp4	8.7 MB
193_overview_of_publishing_azure_ml_models_as_web_services.mp4	9.1 MB
194_creating_an_azure_ml_web_service.mp4	34.1 MB
195_updating_an_azure_ml_web_service.mp4	14.9 MB
196_r_model_publishing.mp4	44.2 MB
197_summary.mp4	11.7 MB
198_wrapup.mp4	7.6 MB
Total files 200