Dec 13, 2025 · 6 min read · Data science can feel overwhelming when you are just starting out. There are many tools, new terms, and different roles involved. Microsoft Fabric was designed to reduce this complexity by bringing data science, data engineering, and analytics into o...
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Apr 5, 2025 · 2 min read · 🔍 Overview In this project, I built a Machine Learning model to predict house prices using the Boston Housing Dataset. The model uses Linear Regression, one of the most fundamental algorithms in supervised learning, to predict prices based on multip...
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Dec 12, 2024 · 7 min read · Regression models are trained to predict numeric label values based on training data that includes both features and known labels. Split the training data (randomly) to create a dataset with which to train the model while holding back a subset of t...
Join discussionOct 2, 2024 · 5 min read · Introduction Linear regression is one of the most fundamental and commonly used techniques in machine learning and statistics. In this guide, we'll explain the basics of simple linear regression, demonstrate how it works, and provide code examples us...
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Aug 16, 2024 · 7 min read · In the world of wine, quality is everything. From the vine to the glass, countless factors influence the final product. For both producers and consumers, understanding these factors and how they relate to wine quality is crucial. This blog post delve...
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Jul 17, 2024 · 4 min read · What are Regression Models? Regression models are techniques used to analyze the Independent variables also called features and Dependent variables called outcomes. These models are widely used in various fields for prediction, forecasting, and under...
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Dec 13, 2023 · 7 min read · In the previous part of this article we discussed the basics of regression analysis, briefly reviewed data gathering and preprocessing techniques, and built a simple linear regression model. Toiday, we continue to dive deeper in the science of buildi...
Join discussionOct 1, 2023 · 6 min read · In the fast-paced domain of financial trading, the ability to forecast market prices is indispensable. To make sense of market volatility, investors and traders rely on predictive models – indispensable tools that allow us to make more informed, data...
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