Regression in machine learningIn machine learning, regression is a supervised learning method that uses connections between input variables (features) and an output variable (target) to predict continuous numerical values. It is frequently used in forecasting, risk analysis, deci...Dec 22, 2025 · 3 min readhello-world-my-journey-into-tech-begins.hashnode.dev
Multiple Linear RegressionWe looked at linear regression, which uses a single input characteristic to predict an output, in my earlier blog.However, judgments are rarely made only on the basis of one reason in real life. For example: House prices don’t depend only on size S...Dec 15, 2025 · 3 min readhello-world-my-journey-into-tech-begins.hashnode.dev
📈 Linear RegressionOne of the simplest yet most effective machine learning methods is linear regression.Every ML novice should grasp it before delving into intricate models since it lays the groundwork for nearly everything that follows. Let's simplify it. 👇 What is ...Dec 12, 2025 · 3 min readhello-world-my-journey-into-tech-begins.hashnode.dev
“Supervised vs Unsupervised vs Reinforcement Learning — Explained with Examples”Machine Learning has many branches, but the three most important ones every beginner should know are: ✅ Supervised Learning✅ Unsupervised Learning✅ Reinforcement Learning These categories define how a model learns — whether using labeled data, unlabe...Dec 11, 2025 · 3 min readhello-world-my-journey-into-tech-begins.hashnode.dev
AI vs ML vs Deep LearningThree terms—Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning (DL)—are dominating every discourse as technology advances more quickly than before. Although they are frequently confused, they are not the same.Imagine them as a f...Dec 10, 2025 · 3 min readhello-world-my-journey-into-tech-begins.hashnode.dev