Aim: To enhance the assigning accuracy of former methods in spam detection in Twitter using advanced methods.Synopsis: Social networking sites have become very popular in recent years. Users use them to find ..
Aim: Analyze the flood data from database for flood prediction using machine learning techniques. Synopsis: Natural and environmental sciences are one of the scientific domains which seek a lot of at..
An Intelligent Approach to Credit Card Fraud Detection Using an Optimized Light Gradient Boosting Machine
Aim : To detect the real time credit card fraud transaction using machine learning algorithms.Synopsis: Credit card fraud events take place frequently and then result in huge financial losses. The number of online transactions has grown in large quantit..
AIMTo be precise and accurate in predicting crop yield and deliver the end user With proper recommendations about required fertilizer ratio based on soil parameters.ABSTRACT India is the land of agriculture and it is the major source of economy.70% of Indian population directly rely..
Aim: The objective of this project is to design and develop an application for analysis of student activity tweets. Synopsis: Emotion is a mental disorder which may..
Aim: This paper aims to help doctors and practitioners in early prediction of diabetes using machine learning techniques. Synopsys: A dataset of a patient’s medical record is obtained and different machine learning algorithms are applied on the dataset. Performance and accuracy of the applied algorithms i..
Aim: To apply machine learning techniques resulting in improving the accuracy in the prediction of cardiovascular diseaseSynopsis: Heart disease is one of the most significant causes of mortality in the world today..
Aim: To predict a emoji based on text, image and emojis Synopsis: Emojis are a very important part of communication in today’s world. It is used to express emotions during a conversation. Building a system which can suggest emoticons based on the text provided can be very useful.It..
Aim: To apply machine learning techniques resulting in improving the accuracy in the prediction of cardiovascular diseaseSynopsis: Millions of people today are suffering from various diseases that can prove fatal. Disease..
Aim:To predict and Anticipation Emoji for multimedia retrieval.Synopsis: Over the past decade, emoji have emerged as a new and widespread form of digital communication, spanning diverse social networks and spoken languages. We propose treating these ideograms as a new modality in their own right, distinct in ..
Aim:The objective of this project is to develop a system to identify the tweet harbor hatred in micro blogs during disaster events.Synopsis:Social media reach is widespread such that information travels very fast without any geographical border or constrained. People are forwarding information without checking the credibility of the message. I..
Predicting Stock Market Trends Using Machine Learning and Deep Learning Algorithms Via Continuous and Binary Data; a Comparative Analysis
Aim: To predict the stock market forecasting using machine leaning algorithms Synopsis: The stock market has always been attracting people with its high returns but with it comes challenges and risks. A stock exchange market depi..