Machine Learning

Recurrent Neural Networks (RNNs / LSTMs) for Text Classification – A Beginner’s Guide

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This is a beginner-friendly article that walks through building an RNN (with LSTM) for text classification. I will use the classic IMDB Movie Reviews dataset (sentiment analysis) since it is widely used, easy to work with, and available directly in Keras.   Beginner’s Guide to Recurrent Neural Networks (RNNs & LSTMs) in Python If you […]

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Real-Estate price prediction ML model to a working web application

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Let’s turn our real estate price prediction model into a working web application. Option 1: Flask Web App (Python + HTML) A lightweight setup ideal if you want full control over frontend design. What You will Build: A form to enter house details A backend that loads your trained model and returns the predicted price

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Machine Learning Model for Real Estate Price Prediction

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Predicting House Prices(Real Estate) is one of the most practical and popular applications of machine learning. Predicting House prices is a classic machine learning problem that combines data analysis, feature engineering, and regression modeling. In this step by step guide, we will build a price prediction model using a real estate dataset in Pthon. In

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Credit Card Fraud Detection using ML: Easy Guide

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Here is a detailed guide on Fraud Detection using machine learning algorithms with a Python code example. Project Overview Fraud Detection algorithms aim to identify suspecious transactions using patterns in collected data. This system is helpful in banking, e-commerce, and payment platforms. In this blog post we will learn step by step guide to develop

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Understanding Linear Regression Through the Lens of House Price Prediction

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Learn how to implement Linear Regression in a Machine Learning Model with a Housing dataset.   Table of Contents: Introduction What is Linear Regression? The dataset Analysis How does Linear Regression Work? Challenges and Limitations Building own Linear regression Model Conclusion INTRODUCTION House Price Prediction is one of the basic datasets to practice in Machine

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House Price Prediction: Linear Regresion

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Learn how to build a House Price Prediction model using Linear Regression in Python. Step-by-step guide with code examples, data preprocessing, and evaluation metrics explained. INTRODUCTION Predicting house prices is one of the most fundamental applications of data science and machine learning. Imagine being able to forecast how much a house is worth based on

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