Deepak Kumar Mohantykumarblog-1.hashnode.dev·Oct 26, 2024Finding the Best-Fit Line in Linear Regression – Manual Minimization vs. Gradient DescentWhen working with linear regression, the goal is to identify the best-fit line that captures the relationship between your input (independent) variable x and output (dependent) variable y. This line, represented by the equation: $$h_{\theta}(x) = \th...best fit line
Deepak Kumar Mohantykumarblog-1.hashnode.dev·Oct 26, 2024Understanding Error Metrics in Regression: MSE, MAE, and RMSEWhen building predictive models, especially in regression tasks, evaluating their performance is crucial. This is where error metrics come into play. In this blog post, we will explore three common error metrics: Mean Squared Error (MSE), Mean Absolu...root mean square error
Sai Sravanthisaisravanthi.hashnode.dev·Oct 11, 2024Building Predictive Models: How Data Analysts Can Dive Into Machine LearningPredictive modeling, enhanced by machine learning, helps data analysts forecast future trends using historical data, and this guide explains key concepts and provides Python and Scikit-Learn code examples. Key Concepts in Predictive Modeling Supervi...11 likes·69 readspredictive analysis
sanjana shahtechnologytraining.hashnode.dev·Sep 28, 2024How is Data Science Enhancing Real-Time Personalization in E-commerce?In today’s digital age, e-commerce has transformed the way consumers shop. With countless options available at their fingertips, businesses must find innovative ways to stand out and cater to individual customer needs. Data science, powered by machin...Data Science
Mohiddin Ydatasciencewithmohiddin.hashnode.dev·Sep 17, 2024ARIMA vs Prophet: A Comprehensive Guide for Time Series ForecastingIn today’s data-driven world, accurate time series forecasting is essential for informed decision-making across industries such as finance, operations, and retail. Two prominent models widely used for these predictions are ARIMA (AutoRegressive Integ...1 likeData Science
Meemansha Priyadarshinimeemansha.hashnode.dev·Jul 11, 2024Decision Trees AlgorithmDecision Tree is a Supervised machine learning algorithm used for performing Classification and Regression tasks. How Decision Trees Work Suppose we have an classification dataset of some Yes and No Values. This dataset contains 14 observation of wea...decisiontree
Haocheng Linhaochengcodedev.hashnode.dev·May 9, 2024The Confusion Matrix Metrics📖Introduction In machine learning, evaluating the performance of a model is akin to peering into a crystal ball to gauge its predictive prowess. One indispensable tool in this evaluation arsenal is the confusion matrix. So, what exactly is this matr...1 likeMachine Learning
Clark Grayclarkgray.hashnode.dev·Dec 26, 2023The Golden SwingIn February 2019, I was first introduced to the problem golf. At what angle should you lift a golf ball into the air such that it has the maximum range during a strike? 45° ? Obviously, to complicate matters more, we should include parameters such as...27 reads#projectile
Pius Mutumamutuma.hashnode.dev·Dec 19, 2023Navigating the Complexity of Imbalanced Datasets in Machine LearningData is always dynamic, existing in different forms. Real-world scenarios are continuously changing, thus shifting the data that feeds into machine learning models, leading to what is known as data distribution shifts. These shifts can significantly ...imbalaced datasets
SUBITSHA Meverthingaboutdata.hashnode.dev·Oct 23, 2023Cost Function in Linear RegressionIn linear regression, the cost function, also known as the loss function or the mean squared error (MSE) function, is used to measure the error or the dissimilarity between the predicted values and the actual target values. The goal of linear regress...1 likeML
