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Adenovirus Disease Prediction for Child Healthcare Using Machine Learning
Last Updated: 28 April 2025
The major uniqueness of this proposed work is recognizing the Adenovirus disease from the human body with the help of data so that people can be health conscious and take ...
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Placement Prediction App using Flask
Last Updated: 28 April 2025
Machine learning is a widely employed method for making predictions. Numerous algorithms are accessible in different libraries for predictive tasks. In this article, we'll...
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EcoSight : An Ecotech Geek-A-Thon project, One step towards sustainability
Last Updated: 28 April 2025
Introducing the EcoSight Analytics by our team for the GeeksforGeeks EcoTech Hackathon. Our project combines a carbon footprint calculator, emission reduction tips, satel...
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Top Machine Learning Projects for Healthcare
Last Updated: 22 February 2024
In this transformative realm of healthcare, Are you ready to journey through the incredible world of machine learning and its groundbreaking impact on healthcare? In this ...
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Phishing Classification using Ensemble model
Last Updated: 28 April 2025
With the rise of digital technology usage, it is becoming easier for attackers to steal personal information from users by committing phishing, one of the most common and ...
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Regression Models for California Housing Price Prediction
Last Updated: 21 April 2025
In this article, we will build a machine-learning model that predicts the median housing price using the California housing price dataset from the StatLib repository. The ...
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Heart Disease Prediction using Support Vector Machine
Last Updated: 28 April 2025
Heart disease is a significant health concern worldwide, and early detection plays a crucial role in effective treatment and prevention. Machine learning algorithms, such ...
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Random Forest for Image Classification Using OpenCV
Last Updated: 05 November 2024
Random Forest is a machine learning algorithm that uses multiple decision trees to achieve precise results in classification and regression tasks. It resembles the process...
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House price prediction with Catboost
Last Updated: 10 April 2024
CatBoost is a powerful approach to predict the house price for stakeholders in real estate industry that includes buying home, sellers and investors. The article aims to e...
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Flight Fare Prediction Using Machine Learning
Last Updated: 17 April 2024
In this article, we will develop a predictive machine learning model that can effectively predict flight fares. Why do we need to predict flight fares?There are several us...
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Click-Through Rate Prediction using Machine Learning
Last Updated: 03 May 2024
Predicting the click-through Rate (CTR) is crucial for optimizing online advertising campaigns. By accurately estimating the likelihood of a user clicking on an ad, busine...
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End-to-End MLOps Pipeline: A Comprehensive Project
Last Updated: 21 April 2025
Machine Learning Operations (MLOps) is a set of practices that aims to deploy and maintain machine learning models in production reliably and efficiently. It combines the ...
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Netflix Movies & TV Show Clustering using Unsupervised ML
Last Updated: 10 July 2024
In the ever-evolving landscape of digital entertainment, Netflix stands out as a dominant platform, providing a vast library of movies and TV shows to its global audience....
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Phoneme Recognition using Machine Learning
Last Updated: 05 August 2024
Phoneme recognition in Natural Language Processing (NLP) is a main component in developing speech recognition systems. Phonemes are the smallest sound units in a language ...
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AirBnB Booking Analysis using EDA
Last Updated: 29 July 2024
Exploratory Data Analysis (EDA) is a crucial step in understanding and analyzing any dataset. In this article, we will perform EDA on an AirBnB booking dataset to reveal t...
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