LL PRO Course List

Coming Next! Python & R Series.

Python & R Series, 5-Part Series

• Lab 35 [Part 3]: TensorFlow for Finance & Gold Forecasting App (Time Series, Univariate LSTM)
• Lab 34 [Part 2]: Advanced Customer Segmentation & Market Basket Analyzer App (E-Commerce, Scikit-Learn)
• Lab 33 [Part 1]: Employee Segmentation with Python & R (HR Analytics, Scikit-Learn)

Shiny API, 5-Part Series

• Lab 32 [Part 5]: Text Mining Tweets with Twitter & Tidytext
• Lab 31 [Part 4]: Forecasting Google Analytics with Facebook Prophet & Shiny
• Lab 30 [Part 3]: Shiny Financial Analysis with Tidyquant API (Finance)
• Lab 29 [Part 2]: Shiny Crude Oil Forecast (Multivariate ARIMA) with Quandl API & Fable
• Lab 28 [Part 1]: Shiny Real Estate App with Zillow API

Marketing Analytics, 4-Part Series

• Lab 27 [Part 4]: Google Trends Automation with Shiny
• Lab 26 [Part 3]: Machine Learning for Customer Journey
• Lab 25 [Part 2]: Marketing Multi-Channel Attribution with ChannelAttribution
• Lab 24 [Part 1]: A/B Testing for Website Optimization with Infer & Google Optimize

SQL for Data Scientists, 3-Part Series

• Lab 23 [Part 3]: Google Analytics & BigQuery (SQL) - Conversion Funnel Analysis
• Lab 22 [Part 2]: SQL for Time Series - Mortgage Loan Delinquency
• Lab 21 [Part 1]: SQL for Data Science - Home Loan Applications & Default

Plus 20 More Labs:

• Lab 20: Explaining Machine Learning for Customer Churn
• Lab 19: Network Analysis - Using Customer Credit Card History to Cluster Influencers
• Lab 18: Anomaly Detection for Time Series
• Lab 17: Anomaly Detection with H2O Machine Learning
• Lab 16: R Optimization Toolchain - Part 2 - Stock Portfolio Analysis & Nonlinear Programming
• Lab 15: R's Optimization Toolchain For Business Decision Making Part 1
• Lab 14: Customer Churn Survival Analysis
• Lab 13: Big Data - Wrangling 4.6M Rows (375 MB) of Financial Data with data.table
• Lab 12: How I Built This - R Package Anomalize using Tidy Eval & Rlang
• Lab 11: Market Basket Analysis & Recommendation Systems w/ recommenderlab
• Lab 10: Building API's with Plumber & Postman
• Lab 9: Finance with R - Performance Analysis & Portfolio Optimization with tidyquant
• Lab 8: Web Scraping - Build A Strategic Database With Product Data
• Lab 7: 5 Strategies to Improve Business Forecasting by 50% (or more)
• Lab 6: Communicating Machine Learning with the rmarkdown package
• Lab 5: Hands-On Coding with the NEW parsnip package
• Lab 4: H2O AutoML - Erin LeDell Guest Appearance!
• Lab 3: Marketing Analytics Case Study - Excel to R
• Lab 2: R In Production: Building Production-Quality Apps with Shiny
• Lab 1: How to Learn R Fast!

Lab 34 - Advanced Customer Segmentation w/ Scikit-Learn & Shiny

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