Cross-validation is a statistical method used in Machine Learning for estimating the performance of models. It is very important to…
Feature Scaling is performed during the Data Preprocessing step. Also known as normalization, it is a method that is used…
For a dataset, an outlier is a data point that behaves differently from the other data points. Outliers cause huge…
Latent Semantic Analysis using Python Discovering topics are very useful for various purposes such as for clustering documents, organizing online…
Learn how to calculate Customer Life Time Value in Python. Italian economist Vilfredo Pareto states that 80% of the effect…
In this tutorial, you’re going to learn how to implement customer segmentation using RFM(Recency, Frequency, Monetary) analysis from scratch in…
In this tutorial, you’ll learn the basics of factor analysis and how to implement it in Python. Factor Analysis (FA)…
tSNE stands for t-distributed Stochastic Neighbor Embedding. It is a dimensionality reduction technique and is extremely useful for visualizing datasets…
Dimensionality refers to the number of input variables (or features) of the dataset. Data with a large number of features…
Predicting optimal clusters is of utmost importance in Cluster Analysis. For a given data, we need to evaluate which Clustering…