Accelerators in R powered by the Analytics Team
Identify Variables of high predictive power for Statistical Modeling by removing redundant and insignificant variables.
Generate forward looking time series forecasts using a variety of simple to complex statistical models.
Analyse any format of Textual data and build world clouds, co-occurance and concordance matrices, perform sentiment/emotion based analysis, topic modeling all in a multivariate space.
Provides automatic tagging to unclassified/untagged data based on a user provided list of sample tags thru application of classification technique like SVM, Neural Networks and Naive Bayes.
Work In Progress
Prescribes a product, a service and other smart Recommendations based on historical patterns, preferences and item attributes.
EDA (Univariate & Bivariate)
Price Forecasting for commodity market
Media Adbreak Dashboard
Forecast Impression for multiple channels across Timeslot, Region, Target