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1 -(Optional) SAS - BigQuery Connection.mp4
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MP4
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40.7 MB
|
|
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1 -Colab Connection to BQ (Extraction of Stores).mp4
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MP4
|
26.1 MB
|
|
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1 -Contribution of Sales per Section.mp4
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MP4
|
24.2 MB
|
|
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1 -Elbow Method.mp4
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MP4
|
23.3 MB
|
|
|
1 -Elbow Method.pdf
|
PDF
|
495.7 KB
|
|
|
1 -Final Results.pptx
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PPTX
|
2.2 MB
|
|
|
1 -Idea Decision Tree Feature Importance to Explain Membership to a Cluster.mp4
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MP4
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19.8 MB
|
|
|
1 -Intro.pptx
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PPTX
|
289.8 KB
|
|
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1 -Introduction.mp4
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MP4
|
30.2 MB
|
|
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1 -Missing Values Due to Opening Dates.mp4
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MP4
|
40.4 MB
|
|
|
1 -Overview of the 4 segments.mp4
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MP4
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30.6 MB
|
|
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1 -PCA Coefficients of First Component.mp4
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MP4
|
38 MB
|
|
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1 -Segmentation_Steps (1).ipynb
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IPYNB
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2 MB
|
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1 -Step 1- preparing_data_presentation.pdf
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PDF
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43.2 KB
|
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1 -Step 2 distribution_life_cycle_plot.pdf
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PDF
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40.6 KB
|
|
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1 -Step 3 pie_chart_gender_segment_vs_population.pdf
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PDF
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37.8 KB
|
|
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1 -Step 4 distribution_plot_weather_segment_vs_population.pdf
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PDF
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39.4 KB
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|
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1 -Step 5 preprocess_radar_chart_data.pdf
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PDF
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38.1 KB
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|
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1 -Step 6 section_contribution_segment_vs_population.pdf
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PDF
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48.9 KB
|
|
|
1 -Top sections contributing to the total sales.mp4
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MP4
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31.6 MB
|
|
|
1 -Webscraping_Performance_Metrics (1).ipynb
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IPYNB
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26.8 KB
|
|
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1 -Winsorization, Yeo-Johnson Transformation and Standardization.mp4
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MP4
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35.3 MB
|
|
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1 -bigquery_code.sql
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SQL
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6.6 KB
|
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1 -cluster_tree_profiling.pdf
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PDF
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28.7 KB
|
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1 -colab connection.pdf
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PDF
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25.3 KB
|
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1 -data_transformation_functions.pdf
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PDF
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21.8 KB
|
|
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1 -filter store and sections.pdf
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PDF
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276.6 KB
|
|
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1 -metricas_x_segmento escalado.xlsx
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XLSX
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15.2 KB
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|
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1 -participacion_seccion_x_segmento.xlsx
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XLSX
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12.5 KB
|
|
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1 -pca_python_code.pdf
|
PDF
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19.7 KB
|
|
|
1 -sales_per_section_percentage_contribution.pdf
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PDF
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25.2 KB
|
|
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1 -sas_code.sas
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SAS
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12.4 KB
|
|
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1 -sas_connection_bigquery.pdf
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PDF
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57.6 KB
|
|
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1 -top_sections.pdf
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PDF
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23.9 KB
|
|
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1 -transformations.pptx
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PPTX
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1.2 MB
|
|
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10 -Google Sheet (Stores Size) + Simple Preprocessing Processing.mp4
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MP4
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28.4 MB
|
|
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10 -size_of_stores.pdf
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PDF
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25.2 KB
|
|
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11 -API Denue (Competition Around Stores).mp4
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MP4
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108.8 MB
|
|
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11 -extracting_city_competition.pdf
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PDF
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44.2 KB
|
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2 -(Optional) SAS Miner Diagram.mp4
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MP4
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50.3 MB
|
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2 -BigQuery Transactions.mp4
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MP4
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37.1 MB
|
|
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2 -Business Problem.mp4
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MP4
|
7.1 MB
|
|
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2 -Business_Problem_Store_Segmentation.pdf
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PDF
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1.8 KB
|
|
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2 -Contribution per Life Cycle.mp4
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MP4
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19.1 MB
|
|
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2 -Correlation Plots.mp4
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MP4
|
49.2 MB
|
|
|
2 -Function to plot distribution for a given variable (cluster vs population).mp4
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MP4
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28.5 MB
|
|
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2 -Intersecting Tables and Dataframes with Selected Stores and Sections.mp4
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MP4
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42.4 MB
|
|
|
2 -Jaccard Similarity To Compare Different Cluster Labels.mp4
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MP4
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22.2 MB
|
|
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2 -PCA Interpreting Coefficients of First Component.mp4
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MP4
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35.6 MB
|
|
|
2 -Segment 1 Tech-Focused Small Stores.mp4
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MP4
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34.1 MB
|
|
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2 -Transforming Top Sections.mp4
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MP4
|
36.2 MB
|
|
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2 -correlation_plots.pdf
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PDF
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24.1 KB
|
|
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2 -intersecting with relevant stores and sections.pdf
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PDF
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31.1 KB
|
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2 -jarccard similarity.pdf
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PDF
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357.1 KB
|
|
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2 -life_cycle_contribution.pdf
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PDF
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21.1 KB
|
|
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2 -pca_component1_interpretation.pdf
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PDF
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575.8 KB
|
|
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2 -plot_segment_vs_population_distribution.pdf
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PDF
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32.9 KB
|
|
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2 -transactions_from_bigquery.pdf
|
PDF
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34.7 KB
|
|
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2 -transform_top_sections.pdf
|
PDF
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25.4 KB
|
|
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3 -Contribution per Gender.mp4
|
MP4
|
8.8 MB
|
|
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3 -Distribution Plots.mp4
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MP4
|
73.3 MB
|
|
|
3 -Existing Customer Segmentation.mp4
|
MP4
|
34.9 MB
|
|
|
3 -Increasing the number of variables appearing in feature importance.mp4
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MP4
|
37.4 MB
|
|
|
3 -Missing Values in Transactions Table.mp4
|
MP4
|
53.2 MB
|
|
|
3 -PCA Interpreting Coefficients Second Component.mp4
|
MP4
|
15.3 MB
|
|
|
3 -SAS Miner Profiling.mp4
|
MP4
|
67.2 MB
|
|
|
3 -Segment 2 Electronics & Furniture for Seniors.mp4
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MP4
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13.4 MB
|
|
|
3 -Transforming Weather Variable.mp4
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MP4
|
9.5 MB
|
|
|
3 -Two Auxiliary Functions.mp4
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MP4
|
6.4 MB
|
|
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3 -Variables CU.pptx
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PPTX
|
1.2 MB
|
|
|
3 -Variables.mp4
|
MP4
|
14 MB
|
|
|
3 -distribution_plots.pdf
|
PDF
|
39.9 KB
|
|
|
3 -existing customer segmentation.pdf
|
PDF
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43.4 KB
|
|
|
3 -feature importance decision tree for segment.pdf
|
PDF
|
43.5 KB
|
|
|
3 -gender_contribution.pdf
|
PDF
|
19.7 KB
|
|
|
3 -missing values in transactions.pdf
|
PDF
|
356.5 KB
|
|
|
3 -pca_component2_interpretation.pdf
|
PDF
|
568.1 KB
|
|
|
3 -transform_weather.pdf
|
PDF
|
21.8 KB
|
|
|
3 -tree_feature_importance_methods.pdf
|
PDF
|
42.1 KB
|
|
|
3 -two_auxiliary_functions.pdf
|
PDF
|
33.5 KB
|
|
|
4 -A robust method to choose top feature importances along several random states.mp4
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MP4
|
58 MB
|
|
|
4 -Average Sales, Profit and Inventory.mp4
|
MP4
|
50.7 MB
|
|
|
4 -Box plots.mp4
|
MP4
|
28.7 MB
|
|
|
4 -Detecting Random State of the Most Stable Clustering.mp4
|
MP4
|
26.3 MB
|
|
|
4 -Interpretation of segments (SAS Miner Profiling).mp4
|
MP4
|
103.7 MB
|
|
|
4 -PCA Interpreting Coefficients Third Component.mp4
|
MP4
|
20.7 MB
|
|
|
4 -Segment 3 Comfort-Oriented Family stores.mp4
|
MP4
|
11.4 MB
|
|
|
4 -Transforming Customer Variables.mp4
|
MP4
|
18 MB
|
|
|
4 -Webscraping.mp4
|
MP4
|
128.6 MB
|
|
|
4 -box_plots.pdf
|
PDF
|
27 KB
|
|
|
4 -detect_stable_clustering.pdf
|
PDF
|
492.2 KB
|
|
|
4 -monthly_averages_inventory_profit_sales.pdf
|
PDF
|
23.8 KB
|
|
|
4 -pca_component3_interpretation.pdf
|
PDF
|
364.1 KB
|
|
|
4 -robust_feature_importance_per_cluster.pdf
|
PDF
|
36.1 KB
|
|
|
4 -transform_customers.pdf
|
PDF
|
23.4 KB
|
|
|
4 -webscraping performance metrics.pdf
|
PDF
|
45.9 KB
|
|
|
5 -(Optional) Extraction of SAS Miner Clustering Code.mp4
|
MP4
|
23.9 MB
|
|
|
5 -Cumulative Turnover and Cumulative Profit.mp4
|
MP4
|
12.1 MB
|
|
|
5 -Fitting K Means With Selected Random State.mp4
|
MP4
|
32.8 MB
|
|
|
5 -Interpretation of segment 1.mp4
|
MP4
|
24.7 MB
|
|
|
5 -PCA Interpreting Coefficients of Components Fourth, Fifth and Sixth.mp4
|
MP4
|
20.7 MB
|
|
|
5 -Segment 4 Single-Customer budget Stores.mp4
|
MP4
|
8.1 MB
|
|
|
5 -Segment_1_Analysis_Complete.pdf
|
PDF
|
640.4 KB
|
|
|
5 -Some Preprocessing On Output of Webscraping.mp4
|
MP4
|
13.7 MB
|
|
|
5 -Transforming Economy Variables.mp4
|
MP4
|
12 MB
|
|
|
5 -cumulative_performance_metrics.pdf
|
PDF
|
28.8 KB
|
|
|
5 -fit k means with selected random state.pdf
|
PDF
|
27.4 KB
|
|
|
5 -pca_component4_interpretation.pdf
|
PDF
|
366.2 KB
|
|
|
5 -pca_component5_interpretation.pdf
|
PDF
|
374.2 KB
|
|
|
5 -pca_component6_interpretation.pdf
|
PDF
|
552.4 KB
|
|
|
5 -scoring_code_sas_miner.pdf
|
PDF
|
54.6 KB
|
|
|
5 -scoring_sas.txt
|
TXT
|
10.7 KB
|
|
|
5 -some_preprocessing.pdf
|
PDF
|
22.1 KB
|
|
|
5 -transform_environment_economy.pdf
|
PDF
|
23.4 KB
|
|
|
6 -Average Ticket, Average Spending and Average Credit Limit.mp4
|
MP4
|
10.5 MB
|
|
|
6 -Comment On Cumulative Profit and Turnover.mp4
|
MP4
|
7.6 MB
|
|
|
6 -Evaluate Clustering with Silhouette Score.mp4
|
MP4
|
26.9 MB
|
|
|
6 -Interpretation of segment 2.mp4
|
MP4
|
15 MB
|
|
|
6 -More Preprocessing On Output of Webscraping.mp4
|
MP4
|
38.1 MB
|
|
|
6 -Segment_2_Analysis_Complete.pdf
|
PDF
|
821.8 KB
|
|
|
6 -Transforming Performance Variables and Merge Everything.mp4
|
MP4
|
45.7 MB
|
|
|
6 -gasto_ticket_lc_promedio_code.pdf
|
PDF
|
355 KB
|
|
|
6 -more_preprocessing.pdf
|
PDF
|
24.5 KB
|
|
|
6 -silhouette_score.pdf
|
PDF
|
41.4 KB
|
|
|
6 -transform_performance_metrics.pdf
|
PDF
|
26.9 KB
|
|
|
7 -Cumulative Performance Metrics from Webscraping.mp4
|
MP4
|
46.8 MB
|
|
|
7 -Interpretation of segment 3.mp4
|
MP4
|
12.9 MB
|
|
|
7 -Segment_3_Analysis_Complete.pdf
|
PDF
|
477.8 KB
|
|
|
7 -more preprocesing cumulative metrics.pdf
|
PDF
|
39.3 KB
|
|
|
8 -Economy of the City (BQ) + Some Preprocessing.mp4
|
MP4
|
32.7 MB
|
|
|
8 -Interpretation of segment 4.mp4
|
MP4
|
11.7 MB
|
|
|
8 -Segment_4_Analysis_Complete.pdf
|
PDF
|
737.4 KB
|
|
|
8 -environment_city_economy.pdf
|
PDF
|
19.6 KB
|
|
|
9 -Weather (BQ) + Some Preprocessing.mp4
|
MP4
|
9.5 MB
|
|
|
9 -weather extraction.pdf
|
PDF
|
19.1 KB
|
|
|
Bonus Resources.txt
|
TXT
|
102.4 B
|
|
|
Get Bonus Downloads Here.url
|
URL
|
204.8 B
|