Have you ever thought, how a simple looking contingency table where the data is organized into rows and columns can be used to explore relationship […]
Category: Machine Learning
Key Diagnostic Metrics
Once we have the model we should evaluate its performance and tune it to improve its performance. If a data mining model is bad, it’s […]
Components to effective Predictive Modeling
Predictive modeling involves finding good subsets of predictors or explanatory variables. Models that fit the data well are better than models that fit the data […]
Feature Engineering Introduction
When your goal is to get the best possible results from a predictive model, you need to get the most from what you have. This […]
Predictive Modeling Overview
The raw data doesn’t offer a lot of value in its unprocessed state. However, by applying the right set of tools, we can pull powerful […]
How to compute A’ or AUC without ROC curve?
A’ is the probability that if you give a model an example from each category, it will accurately identify which is which. It is the […]
Data Analytics Cycle
Data Analysis begins with a question which we are trying to answer. Once we have our question and we have identified our data sources, the […]
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