Aug 15, 2020 | Artificial Intelligence, Data Science, Machine Learning

So far in our previous blogs, we have learned Rank Order, K-S, Gains table, Lift, Classification Accuracy, Precision, Recall, Sensitivity-Specificity, AUC-ROC Curve. In this blog, we will learn...
Aug 9, 2020 | Artificial Intelligence, Data Science, Machine Learning

Classification Accuracy is defined as the number of cases correctly classified by a classifier model divided by the total number of cases. It is specifically used to measure the performance of the...
Jul 7, 2020 | Artificial Intelligence, Data Science, Machine Learning

How do you evaluate a machine learning model? In Machine Learning, there are various metrics to evaluate the performance of a model and gauge its efficacy. In this blog series, we will learn 7...
Jul 6, 2020 | Artificial Intelligence, Data Science, Machine Learning, Python Programming

Multiple Logistic Regression is used to fit a model when the dependent variable is binary and there is more than one independent predictor variable. Before you proceed, I hope you have read our...
Jun 10, 2020 | Artificial Intelligence, Data Science, Machine Learning, Python Programming

In this blog, we will learn to build a single variable logistic regression using Python and also interpret the model summary output. Business Objective Overview MyBank wishes to develop a...
May 3, 2020 | Artificial Intelligence, Data Science, Machine Learning, Python Programming, R Programming

What is Logistic Regression? Logistic Regression is a machine learning technique that is used to model the probability of an event or class having a binary outcome. Logistic Regression is a...
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