Mastering Data Strategy: A Phased Approach to MaturityIn today’s data-driven economy, organizations across industries are racing to unlock the transformative power of their information assets…Jun 7Jun 7
Cracking the Code of Customer Identity: Deterministic Matching in Complex Markets Like JapanIntroduction: Identity Resolution as a Strategic DifferentiatorMay 22May 22
For Loop in PythonIn python, there are a lot of times when we have to iterate through the values we have in our iterable variable. I am purposely mentioning…Jul 27, 2021Jul 27, 2021
Measurement of the accuracy of a binary classification problemMy previous article was about Confusion Matrix where we discussed the importance of it, how is it read and calculated and what are the…Jul 21, 2021Jul 21, 2021
Confusion MatrixConfusion Matrix is one of the evaluation metrics for machine learning classification problems, where a trained model is being evaluated…Jun 21, 2021Jun 21, 2021
Feature Scaling in Machine LearningIn this article, I would like to cover one of the most important but most forgotten part of Machine Learning, that is, Feature Scaling.Jun 7, 2021Jun 7, 2021
Covariance and CorrelationCovariance and Correlation are the terms you would come across very frequently while you are building models in machine learning…Jun 5, 2021Jun 5, 2021
Hierarchical Clustering (Agglomerative)Hierarchical Clustering is one of the most extensively used clustering techniques in unsupervised machine learning.Jun 3, 2021Jun 3, 2021
Ensemble Methods (Bagging and Boosting)Ensemble Methods in Machine Learning relies on a very basic hypothesis that if we combine multiple models (weak learners) together it will…Jun 1, 2021Jun 1, 2021
The Lambda (𝜆) ParameterThe Lambda (𝜆) Parameter also known as the regularization rate is used to tune the overall impact of regularization on the complexity…May 31, 2021May 31, 2021
