Rahul Kumardata-science-notes.hashnode.dev·Dec 15, 2024Performance Metrics For Regression Task1. Mean Squared Error (MSE) Explanation Mean Squared Error (MSE) measures the average squared difference between estimated and actual values. It gives higher weight to larger errors due to squaring. Mathematical Formula MSE = (1/n) * ∑[(y_i - ŷ_i)^2]...Data Science
Parasai-powered-personal-assistants.hashnode.dev·Nov 11, 2024Why a Strong Data Science Process is Critical for Predictive AnalyticsA well-defined data science process enables data scientists to tackle complex challenges with clarity and purpose. It helps ensure that data is prepared, analyzed, and modeled consistently, reducing risks of error and bias. A robust process doesn’t j...predictive analysis
Abu Precious O.btere.hashnode.dev·Nov 8, 2024When dataset is not the problem to low accuracy in Edge AIBuilding robust AI models for Edge applications, like predictive maintenance, is an intricate process, especially when these models are deployed in environments with limited resources like low-end devices like MCU, single board computer(SBCs), Mobile...Ai on the edge
Parasai-powered-personal-assistants.hashnode.dev·Nov 4, 2024Predictive Analytics and Its Role in Business GrowthIntroduction In today’s data-driven world, businesses are constantly searching for ways to make better decisions and anticipate future trends. Predictive analytics has become an invaluable tool, allowing companies to analyze historical data, uncover ...predictive analysis
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, 2024Residuals vs. Cost Functions: Key Differences in Machine Learning EvaluationWhen it comes to evaluating machine learning models, two key concepts stand out: residuals and cost functions. These terms play a crucial role in determining how well our model predicts outcomes. In this blog post, we will explore these concepts in d...residuals
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
Gayathri Selvaganapathiaienthusiast.hashnode.dev·Aug 30, 2024Anomaly Detection in Building DataTable of Contents Introduction Key Areas of Anomaly Detection in Building Management 2.1 Proactive Maintenance 2.2 Energy Efficiency 2.3 Occupant Comfort 3. Understanding the Algorithms 3.1 Angle-Based Outlier Detector (ABOD) 3.2 Gaussian ...1 likeanomaly detection
Gayathri Selvaganapathiaienthusiast.hashnode.dev·Aug 29, 2024Predicting Energy Consumption Using Time Series ForecastingTable of Contents Introduction Understanding Time Series Data Project Overview Data Preparation Loading and Inspecting the Data Visualizing the Data 5. Feature Engineering Extracting Time-Based Features Implementing Feature Engineering ...Time Series Forecasting
