Tag: #PatternRecognition

  • Visualizing Data for Regression

    Visualizing Data for Regression

    Exploratory Data Analysis (EDA) Exploratory Data Analysis (EDA) is a crucial step in understanding and preparing data for building predictive models. In this lab, we focus on visualizing the dataset related to automobile pricing using Python. The dataset is loaded and cleaned, and now we’ll explore it through various visualizations. Summarizing and Manipulating Data: Developing…

  • Understanding Support Vector Machines (SVMs) in Depth

    Understanding Support Vector Machines (SVMs) in Depth

    Support Vector Machines (SVMs) are a powerful class of supervised algorithms used for both classification and regression tasks. In this blog post, we will delve into the intuition behind SVMs and their application in solving classification problems. Motivation To begin, let’s consider a simple classification task with well-separated classes. We’ll generate some synthetic data with…