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Learning Labs Pro
Welcome to Learning Labs PRO!
Learning Labs PRO! (0:52)
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SPECIAL: Forecasting with Modeltime!
Lab 38: Time Series Forecasting with Modeltime (85:29)
Python + R Series
Lab 37: NLP & PDF Text Extraction (spaCy) (100:37)
Lab 36: Tensorflow Multivariate Forecasting (Energy, LSTM) (108:17)
Lab 35: TensorFlow for Finance & Gold Price Forecaster App (Time Series, LSTM) (119:27)
Lab 34: Advanced Customer Segmentation & Market Basket App (E-Commerce) (107:21)
Lab 33: Employee Segmentation w/ Scikit-Learn (HR Analytics) (88:08)
Shiny API Series
Lab 32: Text Mining Tweets with Twitter & Tidytext (91:07)
Lab 31: Forecasting Google Analytics with Facebook Prophet & Shiny (79:26)
Lab 30: Shiny Finance with Tidyquant (Excel in R) (88:54)
Lab 29: Shiny Crude Oil Forecast (Multivariate ARIMA) App with Fable & Quandl API (83:13)
Lab 28: Shiny Real Estate App with Zillow API (72:50)
Marketing Analytics Series
Lab 27: Google Trends Automation with Shiny (66:52)
Lab 26: Machine Learning for Customer Journey (96:38)
Lab 25: Marketing Multi-Channel Attribution with ChannelAttribution (96:08)
Lab 24: A/B Testing for Website Optimization with Infer & Google Optimize (90:59)
Lab 14: Customer Churn Survival Analysis w/ correlationfunnel, parsnip, & H2O (88:30)
Lab 11: Market Basket Analysis & Recommendation Systems w/ recommenderlab (78:35)
Lab 3: Marketing Analytics Case Study - Excel to R (77:54)
Databases - SQL
Lab 23 - Google Analytics & BigQuery (SQL) - Conversion Funnel Analysis (85:04)
Lab 22 - SQL for Time Series - Stocks & Fannie Mae Mortgage Delinquency Analysis (90:16)
Lab 21 - SQL for Data Science - Home Loans with SQL, R, & dplyr (92:06)
Explainable Machine Learning
Lab 20 - Explaining Machine Learning for Customer Churn (79:03)
Network Analysis
Lab 19 - Using Customer Credit Card History to Cluster with Network Analysis (83:09)
Anomaly Detection
Lab 18 - Time Series Anomaly Detection - anomalize (87:15)
Lab 17 - Anomaly Detection with H2O Machine Learning (90:34)
Optimization & Simulation
Lab 16: R Optimization Toolchain - Part 2 - Stock Portfolio & Nonlinear Programming with ROI (88:09)
Lab 15: R Optimization Toolchain - Part 1 - Product Mix & Linear Programming with ompr (80:35)
Big Data
Lab 13: Wrangling 4.6M Rows (375 MB) of Financial Data with data.table (78:36)
Time Series
Lab 7: 5 Strategies to Improve Business Forecasting by 50% (or more) (89:02)
Production: Shiny & Plumber
Lab 10: Building API's with Plumber & Postman (80:18)
Lab 2: R In Production: Building Production-Quality Apps with Shiny (55:32)
Data Collection
Lab 8: Web Scraping - Build A Strategic Database With Product Data (70:07)
Machine Learning
Lab 5: Hands-On Coding with the NEW parsnip package (75:54)
Lab 4: H2O AutoML - Erin LeDell Guest Appearance! (87:15)
Domain: Finance
Lab 9: Finance with R - Performance Analysis & Portfolio Optimization with tidyquant (77:35)
Reporting & RMarkdown
Lab 6: Communicating Machine Learning with the rmarkdown package (71:38)
Learning R
Lab 1: How to Learn R Fast! (56:35)
Advanced Functional Programming
Lab 12: How I Built This - R Package Anomalize using Tidy Eval & Rlang (74:50)
Lab 12: How I Built This - R Package Anomalize using Tidy Eval & Rlang
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