chelynl

ARIMA_Time_Series

Forecasting monthly ozone levels with ARIMA in R

Association_Analysis

Market Basket Analysis for Wine Pairings in Python

Clustering

Using PCA and K-means to determine clusters (or cliques) among teens based on frequent words seen on SNS

darts_python

Decision_Trees

Create simple rules about customers buying bank products for marketing promotions with a decision tree.

ESM_Time_Series

Forecasting monthly ozone levels with Exponential Smoothing Models in R

hierarchical_clustering

KNN

K-Nearest Neighbors

SAS_Programming

Logistic Regression Modeling in SAS

Time-Series

Using various modeling techniques including seasonal ARIMA, ARIMAX, UCM, ensemble to forecast daily ozone levels

chelynl/Time-Series

Using various modeling techniques including seasonal ARIMA, ARIMAX, UCM, ensemble to forecast daily ozone levels

chelynl/ARIMA_Time_Series

Forecasting monthly ozone levels with ARIMA in R

chelynl/Association_Analysis

Market Basket Analysis for Wine Pairings in Python

chelynl/Clustering

Using PCA and K-means to determine clusters (or cliques) among teens based on frequent words seen on SNS

chelynl/darts_python

chelynl/Decision_Trees

Create simple rules about customers buying bank products for marketing promotions with a decision tree.

chelynl/ESM_Time_Series

Forecasting monthly ozone levels with Exponential Smoothing Models in R

chelynl/hierarchical_clustering

chelynl/KNN

K-Nearest Neighbors

chelynl/SAS_Programming

Logistic Regression Modeling in SAS

chelynl/NLP

chelynl/Optimization

chelynl/Python_Programming

chelynl/R-Exercises-and-Drills

chelynl/Text_Analytics

Couple Text Mining and Sentiment Analysis