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ML-Regression

42 posts

How can we Handle Multicollinearity in Linear Regression?

Last Updated: 12 November 2024

Multicollinearity occurs when two or more independent variables in a linear regression model are highly correlated. To address multicollinearity, here are a few simple str...read more

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Machine Learning

Data Science Questions

AI-ML-DS With Python

Cost Function in Linear Regression

Last Updated: 19 May 2025

Linear Regression is a method used to predict values by drawing the best-fit line through the data. When we first create a model, the predictions may not always match the ...read more

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Machine Learning

Data Science Questions

Transport Demand Prediction using Regression

Last Updated: 21 August 2024

Transport demand prediction is a crucial aspect of transportation planning and management. Accurate demand forecasts enable efficient resource allocation, improved service...read more

Machine Learning

AI-ML-DS With Python

Linear Regression for Single Prediction

Last Updated: 17 January 2025

Linear regression is a statistical method and machine learning foundation used to model relationship between a dependent variable and one or more independent variables. Th...read more

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Machine Learning

AI-ML-DS With Python

Ridge Regression vs Lasso Regression

Last Updated: 03 March 2025

Ridge and Lasso Regression are two popular techniques in machine learning used for regularizing linear models to avoid overfitting and improve predictive performance. Both...read more

Engineering Mathematics

Machine Learning

Math-Statistics

Simple Linear Regression in Python

Last Updated: 16 January 2025

Simple linear regression models the relationship between a dependent variable and a single independent variable. In this article, we will explore simple linear regression ...read more

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Machine Learning

AI-ML-DS With Python

How to know if "best fit line" really represents known set of data?

Last Updated: 25 November 2024

To determine if a best-fit line accurately represents a dataset, we can the line and compare it through:Visual Inspection: Look at how the line fits the data. It should pa...read more

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Machine Learning

AI-ML-DS With Python

Difference between Linear Model and Linear Regression

Last Updated: 25 November 2024

To understand the distinction between a "linear model" and "linear regression," it's essential to start with a clear and simple definition: Alinear modelis a broad term fo...read more

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Machine Learning

Is least squares regression the same as linear regression

Last Updated: 12 November 2024

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

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

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

Does Linear Regression Require Feature Scaling?

Last Updated: 19 November 2024

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

How to Handle Categorical Variables in Regression

Last Updated: 09 December 2024

Categorical variables are non-numeric variables that represent groups or categories. In regression models, which typically require numeric inputs, handling categorical var...read more

Machine Learning

What is Gradient descent?

Last Updated: 30 May 2025

Gradient Descent is a fundamental algorithm in machine learning and optimization. It is used for tasks like training neural networks, fitting regression lines, and minimiz...read more

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Machine Learning

Poisson Regression

Last Updated: 07 June 2025

Poisson regression is a statistical technique used to model and analyze count data, where the outcome variable represents the number of times an event occurs in a fixed in...read more

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