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| 1 -(Optional) SAS - BigQuery Connection.mp4 |
40.74Мб |
| 10 -Google Sheet (Stores Size) + Simple Preprocessing Processing.mp4 |
28.44Мб |
| 10 -size_of_stores.pdf |
25.19Кб |
| 11 -API Denue (Competition Around Stores).mp4 |
108.82Мб |
| 11 -extracting_city_competition.pdf |
44.24Кб |
| 1 -bigquery_code.sql |
6.64Кб |
| 1 -cluster_tree_profiling.pdf |
28.74Кб |
| 1 -colab connection.pdf |
25.25Кб |
| 1 -Colab Connection to BQ (Extraction of Stores).mp4 |
26.11Мб |
| 1 -Contribution of Sales per Section.mp4 |
24.21Мб |
| 1 -data_transformation_functions.pdf |
21.84Кб |
| 1 -Elbow Method.mp4 |
23.29Мб |
| 1 -Elbow Method.pdf |
495.75Кб |
| 1 -filter store and sections.pdf |
276.58Кб |
| 1 -Final Results.pptx |
2.22Мб |
| 1 -Idea Decision Tree Feature Importance to Explain Membership to a Cluster.mp4 |
19.84Мб |
| 1 -Intro.pptx |
289.77Кб |
| 1 -Introduction.mp4 |
30.20Мб |
| 1 -metricas_x_segmento escalado.xlsx |
15.21Кб |
| 1 -Missing Values Due to Opening Dates.mp4 |
40.36Мб |
| 1 -Overview of the 4 segments.mp4 |
30.55Мб |
| 1 -participacion_seccion_x_segmento.xlsx |
12.55Кб |
| 1 -pca_python_code.pdf |
19.70Кб |
| 1 -PCA Coefficients of First Component.mp4 |
38.02Мб |
| 1 -sales_per_section_percentage_contribution.pdf |
25.20Кб |
| 1 -sas_code.sas |
12.43Кб |
| 1 -sas_connection_bigquery.pdf |
57.59Кб |
| 1 -Segmentation_Steps (1).ipynb |
1.97Мб |
| 1 -Step 1- preparing_data_presentation.pdf |
43.16Кб |
| 1 -Step 2 distribution_life_cycle_plot.pdf |
40.59Кб |
| 1 -Step 3 pie_chart_gender_segment_vs_population.pdf |
37.79Кб |
| 1 -Step 4 distribution_plot_weather_segment_vs_population.pdf |
39.43Кб |
| 1 -Step 5 preprocess_radar_chart_data.pdf |
38.14Кб |
| 1 -Step 6 section_contribution_segment_vs_population.pdf |
48.85Кб |
| 1 -top_sections.pdf |
23.93Кб |
| 1 -Top sections contributing to the total sales.mp4 |
31.62Мб |
| 1 -transformations.pptx |
1.19Мб |
| 1 -Webscraping_Performance_Metrics (1).ipynb |
26.75Кб |
| 1 -Winsorization, Yeo-Johnson Transformation and Standardization.mp4 |
35.29Мб |
| 2 -(Optional) SAS Miner Diagram.mp4 |
50.27Мб |
| 2 -BigQuery Transactions.mp4 |
37.07Мб |
| 2 -Business_Problem_Store_Segmentation.pdf |
1.83Кб |
| 2 -Business Problem.mp4 |
7.11Мб |
| 2 -Contribution per Life Cycle.mp4 |
19.06Мб |
| 2 -correlation_plots.pdf |
24.09Кб |
| 2 -Correlation Plots.mp4 |
49.19Мб |
| 2 -Function to plot distribution for a given variable (cluster vs population).mp4 |
28.55Мб |
| 2 -Intersecting Tables and Dataframes with Selected Stores and Sections.mp4 |
42.37Мб |
| 2 -intersecting with relevant stores and sections.pdf |
31.12Кб |
| 2 -Jaccard Similarity To Compare Different Cluster Labels.mp4 |
22.16Мб |
| 2 -jarccard similarity.pdf |
357.06Кб |
| 2 -life_cycle_contribution.pdf |
21.09Кб |
| 2 -pca_component1_interpretation.pdf |
575.83Кб |
| 2 -PCA Interpreting Coefficients of First Component.mp4 |
35.64Мб |
| 2 -plot_segment_vs_population_distribution.pdf |
32.87Кб |
| 2 -Segment 1 Tech-Focused Small Stores.mp4 |
34.08Мб |
| 2 -transactions_from_bigquery.pdf |
34.72Кб |
| 2 -transform_top_sections.pdf |
25.41Кб |
| 2 -Transforming Top Sections.mp4 |
36.20Мб |
| 3 -Contribution per Gender.mp4 |
8.82Мб |
| 3 -distribution_plots.pdf |
39.88Кб |
| 3 -Distribution Plots.mp4 |
73.30Мб |
| 3 -Existing Customer Segmentation.mp4 |
34.89Мб |
| 3 -existing customer segmentation.pdf |
43.35Кб |
| 3 -feature importance decision tree for segment.pdf |
43.45Кб |
| 3 -gender_contribution.pdf |
19.69Кб |
| 3 -Increasing the number of variables appearing in feature importance.mp4 |
37.36Мб |
| 3 -missing values in transactions.pdf |
356.47Кб |
| 3 -Missing Values in Transactions Table.mp4 |
53.17Мб |
| 3 -pca_component2_interpretation.pdf |
568.12Кб |
| 3 -PCA Interpreting Coefficients Second Component.mp4 |
15.31Мб |
| 3 -SAS Miner Profiling.mp4 |
67.19Мб |
| 3 -Segment 2 Electronics & Furniture for Seniors.mp4 |
13.37Мб |
| 3 -transform_weather.pdf |
21.80Кб |
| 3 -Transforming Weather Variable.mp4 |
9.47Мб |
| 3 -tree_feature_importance_methods.pdf |
42.08Кб |
| 3 -two_auxiliary_functions.pdf |
33.47Кб |
| 3 -Two Auxiliary Functions.mp4 |
6.42Мб |
| 3 -Variables.mp4 |
13.99Мб |
| 3 -Variables CU.pptx |
1.20Мб |
| 4 -A robust method to choose top feature importances along several random states.mp4 |
57.98Мб |
| 4 -Average Sales, Profit and Inventory.mp4 |
50.68Мб |
| 4 -box_plots.pdf |
27.01Кб |
| 4 -Box plots.mp4 |
28.66Мб |
| 4 -detect_stable_clustering.pdf |
492.22Кб |
| 4 -Detecting Random State of the Most Stable Clustering.mp4 |
26.34Мб |
| 4 -Interpretation of segments (SAS Miner Profiling).mp4 |
103.67Мб |
| 4 -monthly_averages_inventory_profit_sales.pdf |
23.83Кб |
| 4 -pca_component3_interpretation.pdf |
364.13Кб |
| 4 -PCA Interpreting Coefficients Third Component.mp4 |
20.70Мб |
| 4 -profiling_segments.pdf |
1014.29Кб |
| 4 -robust_feature_importance_per_cluster.pdf |
36.10Кб |
| 4 -Segment 3 Comfort-Oriented Family stores.mp4 |
11.44Мб |
| 4 -transform_customers.pdf |
23.38Кб |
| 4 -Transforming Customer Variables.mp4 |
18.04Мб |
| 4 -Webscraping.mp4 |
128.56Мб |
| 4 -webscraping performance metrics.pdf |
45.93Кб |
| 5 -(Optional) Extraction of SAS Miner Clustering Code.mp4 |
23.92Мб |
| 5 -cumulative_performance_metrics.pdf |
28.80Кб |
| 5 -Cumulative Turnover and Cumulative Profit.mp4 |
12.08Мб |
| 5 -fit k means with selected random state.pdf |
27.39Кб |
| 5 -Fitting K Means With Selected Random State.mp4 |
32.84Мб |
| 5 -Interpretation of segment 1.mp4 |
24.74Мб |
| 5 -pca_component4_interpretation.pdf |
366.22Кб |
| 5 -pca_component5_interpretation.pdf |
374.25Кб |
| 5 -pca_component6_interpretation.pdf |
552.36Кб |
| 5 -PCA Interpreting Coefficients of Components Fourth, Fifth and Sixth.mp4 |
20.69Мб |
| 5 -scoring_code_sas_miner.pdf |
54.64Кб |
| 5 -scoring_sas.txt |
10.67Кб |
| 5 -Segment_1_Analysis_Complete.pdf |
640.45Кб |
| 5 -Segment 4 Single-Customer budget Stores.mp4 |
8.10Мб |
| 5 -some_preprocessing.pdf |
22.10Кб |
| 5 -Some Preprocessing On Output of Webscraping.mp4 |
13.75Мб |
| 5 -transform_environment_economy.pdf |
23.36Кб |
| 5 -Transforming Economy Variables.mp4 |
12.03Мб |
| 6 -Average Ticket, Average Spending and Average Credit Limit.mp4 |
10.53Мб |
| 6 -Comment On Cumulative Profit and Turnover.mp4 |
7.62Мб |
| 6 -Evaluate Clustering with Silhouette Score.mp4 |
26.87Мб |
| 6 -gasto_ticket_lc_promedio_code.pdf |
355.00Кб |
| 6 -Interpretation of segment 2.mp4 |
15.03Мб |
| 6 -more_preprocessing.pdf |
24.54Кб |
| 6 -More Preprocessing On Output of Webscraping.mp4 |
38.11Мб |
| 6 -Segment_2_Analysis_Complete.pdf |
821.79Кб |
| 6 -silhouette_score.pdf |
41.36Кб |
| 6 -transform_performance_metrics.pdf |
26.94Кб |
| 6 -Transforming Performance Variables and Merge Everything.mp4 |
45.74Мб |
| 7 -Cumulative Performance Metrics from Webscraping.mp4 |
46.76Мб |
| 7 -Interpretation of segment 3.mp4 |
12.91Мб |
| 7 -more preprocesing cumulative metrics.pdf |
39.30Кб |
| 7 -Segment_3_Analysis_Complete.pdf |
477.76Кб |
| 8 -Economy of the City (BQ) + Some Preprocessing.mp4 |
32.68Мб |
| 8 -environment_city_economy.pdf |
19.64Кб |
| 8 -Interpretation of segment 4.mp4 |
11.73Мб |
| 8 -Segment_4_Analysis_Complete.pdf |
737.36Кб |
| 9 -Weather (BQ) + Some Preprocessing.mp4 |
9.48Мб |
| 9 -weather extraction.pdf |
19.09Кб |
| Bonus Resources.txt |
70б |
| Get Bonus Downloads Here.url |
183б |