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Data Science Questions

56 posts

Instance Normalization vs Batch Normalization

Last Updated: 23 July 2025

Instance normalization and batch normalization are techniques used to make machine learning models train better by normalizing data, but they work differently. Instance no...read more

Data Science Questions

What is the influence of C in SVMs with linear kernel?

Last Updated: 23 July 2025

Support Vector Machines (SVMs) are powerful machine learning algorithms used for classification and regression tasks. When dealing with linearly separable data, SVMs use a...read more

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Machine Learning

ML-Classification

Data Science Questions

AI-ML-DS With Python

Training a decision tree against unbalanced data

Last Updated: 23 July 2025

When building machine learning models like decision trees, imbalanced data—where one class significantly outnumbers another—presents a unique challenge. For example, in cr...read more

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Machine Learning

Data Science Questions

AI-ML-DS With Python

How to choose the right distance metric in KNN?

Last Updated: 01 November 2025

K-Nearest Neighbors (KNN) is a supervised learning algorithm that classifies new data points based on the closest existing labeled examples. To measure how “close” samples...read more

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Machine Learning

ML-Classification

Data Science Questions

AI-ML-DS With Python

How to Visualize KNN in Python

Last Updated: 23 July 2025

Visualizing the K-Nearest Neighbors (KNN) algorithm in Python is a great way to understand how this supervised learning method works and how it makes predictions. In essen...read more

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Machine Learning

Data Science Questions

AI-ML-DS With Python

Why is KNN a lazy learner?

Last Updated: 12 November 2024

The K-Nearest Neighbors (KNN) algorithm is known as alazy learnerbecause it does not build an internal model during the training phase. Instead, it simply stores the entir...read more

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Machine Learning

ML-Classification

Data Science Questions

How do k-means clustering methods differ from k-nearest neighbor methods

Last Updated: 23 July 2025

K-Means is an unsupervised learningmethod used for clustering, while KNN is a supervised learning algorithm used for classification (or regression). K-Means clusters data...read more

Machine Learning

Data Science Questions

How to save a decision tree in ONNX format for deployment?

Last Updated: 23 July 2025

To save a decision tree in ONNX format for deployment, you can use the skl2onnx library, which converts scikit-learn models to the ONNX format. ONNX (Open Neural Network E...read more

Machine Learning

Data Science Questions

AI-ML-DS With Python

How do decision trees work with unbalanced datasets?

Last Updated: 23 July 2025

Decision trees are a popular machine learning model for classification tasks. However, when dealing with unbalanced datasets—where one class significantly outnumbers the o...read more

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Machine Learning

Data Science Questions

How to choose α in cost-complexity pruning?

Last Updated: 23 July 2025

Cost-complexity pruning is a method used in decision trees to balance the trade-off between accuracy and complexity, helping to prevent overfitting. The key parameter in t...read more

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Machine Learning

Data Science Questions

How to choose ideal Decision Tree depth without overfitting?

Last Updated: 23 July 2025

Choosing the ideal depth for a decision tree is crucial to avoid overfitting, a common issue where the model fits the training data too well but fails to generalize to new...read more

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Machine Learning

Data Science Questions

Does Linear Regression Require Feature Scaling?

Last Updated: 23 July 2025

Linear regression does not always require feature scaling, but scaling can improve its performance and help in specific cases. The main reason is that linear regression mo...read more

Machine Learning

Data Science Questions

When to normalize data in regression?

Last Updated: 12 November 2024

Normalization, or scaling, is the process of adjusting the values of features to a common scale without distorting differences in the data. When working with regression mo...read more

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Machine Learning

Data Science Questions

Can Linear Regression be used with Binary Independent Variables?

Last Updated: 25 November 2024

Yes, linear regression can work with binary independent variables, where the variable only takes two values, such as 0 and 1. These binary predictors are used to distingui...read more

Machine Learning

Data Science Questions

Is least squares regression the same as linear regression

Last Updated: 23 July 2025

Yes, Least squares regression and linear regression are closely related in machine learning, but they’re not quite the same. Linear regression is a type of predictive mode...read more

Machine Learning

Data Science Questions