Jan 4 · 2 min read · I built an end-to-end machine learning classifier that predicts ATP tennis match winners using only pre‑match information. So the prediction is something you can realistically make before players step on court. GitHub Repo:- ATP-TENNIS Live demo...
Join discussionDec 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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Oct 6, 2025 · 2 min read · 📖 Logistic Regression may sound like Linear Regression, but it’s built for classification, not prediction. It helps AI decide between categories – spam vs not spam, churn vs stay, 1 vs 0. 1️⃣ The Foundations Works by applying a sigmoid (S-curve) f...
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Aug 28, 2025 · 2 min read · Hey everyone 👋 Dhairya here, Today’s focus was on one of the most fundamental ideas in probabilistic machine learning: Bayes’ Theorem and its practical use in the Naive Bayes classifier. 🔢 What I Learned Today 1. Bayes’ Theorem Formula: P(A∣B)=...
Join discussionJul 28, 2025 · 3 min read · 🤔 What is a Confusion Matrix? If you’ve just started learning Machine Learning, and you're hearing terms like True Positive, False Negative, and wondering what confusion matrix even means — this blog is for you. Let’s break it down in the most simpl...
Join discussionApr 11, 2025 · 3 min read · Machine Learning (ML) is transforming industries across the globe by enabling systems to learn from data and make decisions without being explicitly programmed. At the heart of supervised learning lie two primary types of predictive modeling tasks: ...
Join discussionOct 1, 2024 · 8 min read · Introduction In the first part, we explored what a classification model is, using logistic regression as an example, along with the confusion matrix and different performance evaluation methods. In this article, we'll dive into two additional classif...
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Sep 30, 2024 · 8 min read · Introduction In this Article, we’ll be diving into three important classification models: Logistic Regression K-Nearest Neighbors (KNN) Linear Discriminant Analysis (LDA) As mentioned earlier, there are two types of prediction problems: Regress...
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Sep 25, 2024 · 8 min read · Part - I https://blogbyriyabose.hashnode.dev/diving-deeper-into-machine-learning-a-detailed-exploration-of-regression-classification-and-clustering Part-II Classification models are essential tools in the machine learning arsenal, widely used across ...
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