3d ago · 14 min read · You've trained your decision tree. It fits your training data beautifully — almost suspiciously well. Then you test it on new data, and it falls apart. Sound familiar? This is the classic overfitting
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Dec 19, 2025 · 4 min read · Today, I started a fun beginner-level project on SMS Spam Classification. The objective of this project was to build an end-to-end text classification pipeline, starting from raw data exploration to model deployment. Dataset Preparation and Cleaning ...
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Nov 9, 2025 · 2 min read · Hey everyone 👋 Dhairya here, I’m back after a long time took a break bacause of festive season and college exams and all i was unable to give time to learn and did not want to force things else i wont learn properly you know. After learning about hy...
Join discussionOct 8, 2025 · 2 min read · 📖 Random Forest is one of the most powerful yet practical AI models. It combines multiple Decision Trees to make predictions that are more accurate, stable, and robust than any single tree could achieve alone. 1️⃣ The Foundations An ensemble learn...
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Mar 20, 2025 · 3 min read · Building a House Price Prediction App with Streamlit and Bagging Regressor Predicting house prices is a popular problem in the real estate industry, and machine learning can provide valuable insights. In this tutorial, we’ll build an interactive web ...
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Oct 13, 2024 · 5 min read · Machine learning (ML) is transforming industries by allowing companies to uncover patterns, make predictions, and improve decision-making. While there are numerous ML libraries, Scikit-learn stands out due to its simplicity and power. Whether you’re ...
Join discussionOct 9, 2024 · 14 min read · In previous parts of decision trees, we explored what are decision trees and how they can be used for regression as well as classification. In this blog we will see the problem with normal classification tree, and how to overcome it using various ens...
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Jul 15, 2024 · 6 min read · Introduction Welcome to the sixth blog post in our machine learning series! Today, we will explore Random Forest, a powerful and versatile algorithm used for both classification and regression tasks. As always, we will also implement this algorithm f...
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Jul 13, 2024 · 4 min read · In my previous blog, we explored the fascinating world of Decision Trees, a fundamental algorithm in machine learning. Today, we will take a step further into the realm of ensemble learning by diving into Random Forests. This blog aims to provide a c...
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Jul 4, 2024 · 2 min read · In this article you will learn about ensemble learning and why it is important for performing machine learning tasks. Ensemble learning uses multiple algorithms to solve regression and classification problems. It combines more than one learner in o...
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