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