Using tools like functional decomposition to enable artificial intelligence, machine learning, and analytics developers in creating better end-to-end solutions
Read MoreConaxon 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).
Read MoreConaxon talks about key problems in applying Machine Learning, Artificial Intelligence, Analytics, and Decision Intelligence within Small / Micro Businesses.
Read Morepropose a simple project to demonstrate a machine learning use case for optimizing which leads sales teams are predicted to be closed.
Read More5 ways to improve AI, Machine Learning, and Business Intelligence project outcomes.
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