Tags

AI: 1 Agile Framework: 1 Amadeus: 1 Anomaly Detection: 1 BI: 1 BSPF: 3 Backtesting: 3 Business Understanding: 4 CRISP-DM: 2 CRM: 1 Case Study: 1 Churn: 5 Code: 1 Community Detection: 3 Customer Analytics: 1 Customer Segmentation: 3 DALEX: 1 DMAIC: 1 DS4B: 5 DS4B 201-R: 5 Data Mining: 1 Data Science: 8 Data Science For Business: 1 Data Science Team: 1 Deep Learning: 2 EARL: 2 Education: 1 Employee Attrition: 2 Employee Turnover: 6 Excel: 1 Expected Value: 2 Financial Analysis: 1 Framework: 1 GGally: 2 Getting Started: 1 H2O: 3 HR 201: 1 HR Analytics: 6 Human Resources: 4 IML: 1 InfoSec: 1 Kaggle Competitions: 1 Keras: 2 LIME: 1 Learning Data Science: 2 MBA: 1 Machine Learning: 1 Marketing: 1 Monte Carlo: 1 Multiple Cores: 2 PCA: 1 Parallel Processing: 3 Partnerships: 1 People Analytics: 4 PerformanceAnalytics: 2 Principles By Ray Dalio: 1 Product Backorders: 1 Project Management: 2 Python: 4 Quandl: 2 Quantopian: 1 R: 65 R-Project: 64 RMarkdown: 1 SQL: 1 Sales Analytics: 1 Sales Data Scientist: 1 Salesforce: 1 Scikit-Learn: 1 Shiny: 1 Simulation: 1 Stock Analysis: 10 Strategy: 1 TTR: 8 TensorFlow: 3 Text Analysis: 1 Tidyverse: 1 Time Series: 4 Trading Algorithms: 1 Trading Strategy: 7 Web Scraping: 3 Zipline: 1 alphavantager: 1 anomalize: 2 bikes data set: 4 broom: 2 caret: 1 corrplot: 1 corrr: 4 cowplot: 1 cranlogs: 4 dalex: 1 dplyr: 7 dygraphs: 1 flyingfox: 1 forecast: 1 fs: 1 furrr: 1 ggplot2: 4 h2o: 11 igraph: 1 iml: 1 keras: 3 kmeans: 1 lime: 7 multidplyr: 2 networkD3: 1 orderSimulatoR: 1 padr: 1 parallel: 2 pdp: 1 plotly: 2 prcomp: 1 purrr: 2 quantmod: 8 r-finance: 1 radix: 1 recipes: 6 reticulate: 1 rsample: 3 rvest: 3 silhouette: 1 skimr: 3 sweep: 3 tibbletime: 8 tidyquant: 18 tidyr: 5 tidyverse: 18 timekit: 4 timekitr: 1 timetk: 5 vip: 1 xts: 9 yardstick: 3 zoo: 8

R

R-Project