2017_09_19_R_UserGroup_Panama
2017_11_05_EARL_Boston_2017
2018_02_02_rstudio-conf-2018/presentation
rstudio-conf-2018-presentation
rstudio-conf-2018-presentation.key
rstudio-conf-2018-presentation.pdf
2018_04_19_SP_Global_Time_Series_Deep_Learning
2018_06_01_R-Finance-Time-Series-Platform-Tidyverse
2018_10_13_DSGO18_Business_Science_Problem_Framework
2019_01_09_How_To_Learn_R_Fast
2019_02_13_Learning_Lab_Marketing_Analytics
2019_03_13_Learning_Lab_05_Intro_to_Machine_Learning
2019_03_26_Learning_Lab_06_Business_Reporting_RMarkdown
2019_05_17_RFinance_Tidyquant_Portfolio_Optimization
2019_06_07_Webinar_Build_Predictive_Web_App_R_Shiny
2019_07_02_Lab_13_Big_Data_datatable
2019_07_10_6_Reasons_to_Learn_R_For_Business
2019_07_17_Lab_14_Customer_Churn_Survival_H2O
2019_07_30_Lab_15_R_Optimization_Toolchain_Part_1
2019_08_13_Lab_16_R_Optimization_Stock_Portfolio
2019_08_28_Lab_17_Anomaly_Dection_Isolation_Forest_H2O
2019_09_11_Lab_18_Time_Series_Anomaly_Detection
2019_09_25_lab_19_network_analysis
2019_09_27_DSGO_Shiny_Workshop
2019_10_10_lab_20_explainable_machine_learning
2019_10_23_lab_21_SQL_for_Data_Science
2019_10_30_Webinar_R_plus_Shiny_plus_AWS
2019_11_06_lab_22_SQL_for_Time_Series
2019_11_20_Lab_23_Google_Analytics_BigQuery_SQL_Conversion_Funnel
2019_12_05_Lerning_Lab_24_AB_Testing_Website_Optimization_infer
2019_12_18_lab_25_Marketing_Multi_Channel_Attribution_Part_1
2020_01_08_lab_26_machine_learning_for_customer_journey
2020_01_22_lab_27_google_trends_automation
2020_02_05_lab_28_shiny_real_estate_app_zillow
2020_03_25_lab_31_forecast_google_analytics_with_facebook_prophet
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