Keep Analytics, Machine Learning, and Artificial Intelligence to Simple Use-Cases with Collective Vantage

Conaxon takes the reader through a simple sales forecasting project for a retail store. We cover data cleaning (pandas), feature engineering (encoding categorical/cyclical features), building a base GradientBoostedRegressor Model (Sklearn), and hyper-parameter tuning (GridSearchCV, RandomizedSearchCV, KFold).

Be Wary of Second Hand Data: Here's How Collective Vantage Addresses that Fear

A brief discussion how Conaxon & Collective Vantage maintains trust and data quality. You SHOULD be wary of second hand data! But, there are ways to balance the costs and benefits to drive the most value.

Key Struggles with Analytics, Decision Intelligence, and Machine Learning Micro-Business Communities

Conaxon talks about key problems in applying Machine Learning, Artificial Intelligence, Analytics, and Decision Intelligence within Small / Micro Businesses.

We’re Moving…Kind of!