ianmaloba/CS-3308-Information-Retrieval

Full-featured information retrieval system that indexes and enables searching through the CACM (Communications of the ACM) corpus. Live at https://cacm.ianmaloba.com or https://codepen.io/ianmaloba/full/mydReKQ

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akthammomani/AI_Powered_Recipe_Recommender

Build a Web App called AI-Powered Recipe Recommender App

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Arjun0106/FY-Learn_Hub

Learn Hub is a web application that helps to learn any technology in a structured & organized way. The idea is to enhance Internet learning by producing search query results based on higher accuracy and relevance of the content, instead of traditional ranking methods.

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chboey/MovieMingleBot

Interactive NLP-based AI system designed to manage cinema bookings and provide a seamless user experience.

Language: Python - Size: 49.8 KB - Last synced at: 9 months ago - Pushed at: 11 months ago - Stars: 1 - Forks: 0

Gracia243/spam_email_detector

Spam Email Detector

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akshat2635/AniVerse

AniVerse is an anime recommender system which recommends user based on explicit feedback from user.

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shruthin4/News-Articles-Classification

Classifying News Articles using Machine Learning and NLP techniques.. Built an end-to-end text classification pipeline using TF-IDF vectorization and models like Logistic Regression and SVM. Includes exploratory data analysis, model evaluation, and deployment-ready artifacts.

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tanu9102/PG-DBDA-Project

"This repository consists of **Acne Detection using YOLO** for identifying acne from facial images and **Machine Learning-based Product Recommendation** for suggesting suitable skincare products based on acne severity and skin type."

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BhawnaMehbubani/Airline-Passenger-Referral-Program-Development-with-Classification-Techniques

Prediction of airline passenger referrals using Logistic Regression, GridSearchCV, and TF-IDF vectorization with Python, Pandas, Scikit-learn, and Excel.

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maettuu/24HS-Essentials-in-Text-and-Speech-Processing

Repository for the course Essentials in Text and Speech Processing Fall 2024

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Yaswanth1702/Chatbot

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jmarihawkins/sms_spam_detector

The purpose of this project is to build a machine learning model to classify SMS messages as either "spam" or "ham" (not spam). Using TF-IDF vectorization and LinearSVC, it reads an SMS dataset, transforms text data into numerical features, and trains a model to distinguish between spam and ham. The "SMSSpamCollection" dataset has labeled messages.

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NikosMav/FakeNews-Classification

In this notebook we analyze and classify news articles using machine learning techniques, including Logistic Regression, Naive Bayes, Support Vector Machines, and Random Forests. Explore text vectorization and NLP for accurate news categorization.

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fardinafdideh/Text-analytics

Amazon product review sentiment analysis using Logistic Regression (LR), Support Vector Machine (SVM), and Naive Bayes (NB) multiclass as classifier models, Synthetic Minority Oversampling Technique (SMOTE) as feature oversampler, and TF-IDF vectorization as feature, Synthetic Minority Oversampling Technique (SMOTE) as oversampler, and k-fold CV.

Language: Jupyter Notebook - Size: 12.8 MB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0