SayamAlt / Fake-Reviews-DetectionLinks
Successfully developed a machine learning model which can predict whether an online review is fraudulent or not. The main idea used to detect the fake nature of reviews is that the review should be computer generated through unfair means. If the review is created manually, then it is considered legal and original.
☆97Updated 3 years ago
Alternatives and similar repositories for Fake-Reviews-Detection
Users that are interested in Fake-Reviews-Detection are comparing it to the libraries listed below
Sorting:
- The project provides a Tailor-made travel itinerary for users using their travel details like destination, budget, start and end dates of…☆138Updated 5 years ago
- The "Medicine Recommendation System" is designed to provide suggestions for alternative or substitute medications based on a search query…☆35Updated last year
- A Personalized meal recommendation system that recommends meal on the basis of user preference of Nutrients, Diet, and disease if any usi…☆34Updated 5 years ago
- A content based movie recommender system using cosine similarity☆185Updated last year
- This repository contains theory and working codes of three different types of chatbots.☆182Updated last year
- 611noorsaeed / Medicine-Recommendation-System-Personalized-Medical-Recommendation-System-with-Machine-Learning☆120Updated last year
- Product Browse Node Classification☆45Updated 4 years ago
- Movie Recommendation System with Complete End-to-End Pipeline, Model Integration & Web Application Hosted.☆174Updated this week
- Prediction of Mental Health using various Machine Learning Algorithms and made a Web page which will predict the probability of Mental il…☆49Updated 4 years ago
- Kaggle-sourced machine learning projects in Python Jupyter notebooks, spanning computer vision to predictive modeling.☆111Updated 4 months ago
- Food/Diet Recommendation system using machine learning☆245Updated 5 months ago
- Multiple disease prediction such as Diabetes, Heart disease, Kidney disease, Breast cancer, Liver disease, Malaria, and Pneumonia using s…☆95Updated 2 years ago
- Fraud Detection model based on anonymized credit card transactions☆115Updated 3 years ago
- A Machine Learning and Deep Learning based webapp used to predict multiple diseases.☆141Updated 3 years ago
- Detect Fraudulent Credit Card transactions using different Machine Learning models and compare performances☆78Updated 5 years ago
- This repository consists of our final year project implementation i.e Psykh it's a chatbot which basically solves day to day mental healt…☆40Updated last year
- ☆16Updated 3 years ago
- This project involves the use of K-Means Clustering to find the best accommodation for students in any city of your choice by classifyin…☆11Updated last year
- The objective of this assignment is to extract textual data articles from the given URL and perform text analysis to compute variables th…☆31Updated 2 years ago
- This repository contains all the deep learning projects done as tutorial☆445Updated 8 months ago
- This project is for Fake News Detection using NLP and Machine Learning. And then Deploying it using Flask.☆55Updated last year
- Disease Prediction based on Symptoms.☆327Updated 2 years ago
- A machine learning based website that recommends the best crop to grow, fertilizers to use, and the diseases caught by your crops.☆488Updated last year
- Medical Diagnosis A Machine Learning Based Web Application☆37Updated 4 years ago
- The Movie Database for all language movies☆232Updated 2 years ago
- A recommendation engine is a class of machine learning which offers relevant suggestions to the customer. A recommendation system is one …☆13Updated 3 years ago
- Healthcare is an web application based on Machine Learning where a patient can detect disease and request for drug recommendation and tak…☆26Updated 2 years ago
- A web application that predicts if a patient has cancer, diabetes, heart disease, kidney disease, and liver disease based on machine lear…☆32Updated 2 years ago
- ☆37Updated 2 years ago
- Given a dataset containing attribute of 396 Portuguese students where using the features available from dataset and define classification…☆82Updated last year