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Category: Machine Learning Projects

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Showing 1-50 of 68 results


Student Performance Prediction using Machine Learning

Abstract: Although the educational level of the Portuguese population has improved in the last decades, the statistics keep Portugal at Europe’s tail end due to its high student failure rates. In particular, lack of success in the core classes of Mathematics and the Portuguese language is extremely serious. On the other hand, the fields of


Machine Learning based Regression Model for Prediction of Soil Surface Humidity over Moderately Vegetated Fields

Abstract: Agriculture is one of the major revenue producing sectors of India and a source of survival. Numerous seasonal, economic and biological patterns influence the crop production but unpredictable changes in these patterns lead to a great loss to farmers. These risks can be reduced when suitable approaches are employed on data related to soil


Extracting Phishing Website Features in URL and Prediction using Machine Learning

Abstract: Malicious Web sites largely promote the growth of Internet criminal activities and constrain the development of Web services. As a result, there has been strong motivation to develop systemic solution to stopping the user from visiting such Web sites. We propose a learning based approach to classifying Web sites into 3 classes: Benign, Spam


Soil Moisture Retrieval using Ground Water Dataset using Machine Learning

Abstract:                       In this project work we perform analysis of groundwater level data in three districts of Tamilnadus. We have analysed this data for more than 100 observation wells in each of these districts and developed seasonal models to represent the groundwater behaviour. Three different type of models were developed-periodic, polynomial and rainfall models. While periodic


Crime Analysis and Prediction using Optimized K-Means Algorithm

Abstract: In this day and age security is a perspective which is given higher need by all political and government worldwide and intending to decrease wrongdoing frequency. As information mining is the proper field to apply on high volume wrongdoing dataset and information picked up from information mining approaches will be helpful and bolster police


Arabic Natural Language Processing and Machine Learning-based Systems

Abstract: Arabic is a Semitic language spoken by more than 330 million people as a native language, in an area extending from the Arabian/Persian Gulf in the East to the Atlantic Ocean in the West. Moreover, it is the language in which 1.4 billion Muslims around the world perform their daily prayers. Over the last


Data Science Process Pipeline to Solve Employee Attrition and Their Job Performance and Predicting with AI

Introduction: Machine learning is a form of AI that enables a system to learn from data rather than through explicit programming. However, machine learning is not a simple process. As the algorithms ingest training data, it is then possible to produce more precise models based on that data. A machine learning model is the output


Sentiment Analysis of Medicine Reviews Using NLP with Machine Learning Models

Abstract: The need to analyze user generated data over the web has recently gained importance due to the abundance of knowledge which can be acquired by careful analysis of such data. Majority of such data is available via online networking websites like Facebook, Twitter, LinkedIn, etc. The data available in such platforms are in the


Time Series Analysis of Stock Price Movements: Insights from Data Mining using Machine Learning

Objective: The main goal of a project is to To review totally different techniques to predict stock worth movement. To find the performance and accuracy of stock’s price.   Abstract: The goal of this paper is to review totally different techniques to predict stock worth movement victimisation the sentiment analysis from social media, data processing.


Comparing Prediction Performance for Crash Injury Severity among Various Machine Learning and Statistical Methods

Abstract:  There are many inventories in in automobile industries to design and build safety measures for automobiles, but traffic accidents are unavoidable. There is a huge number of accidents prevailing in all urban and rural areas. Patterns involved with different circumstances can be detected by developing an accurate prediction models which will be capable of


Real-time machine learning detection of heart disease using big data approach

Abstract: According to recent survey by UN agency (World health organization) seventeen.9 million individuals die annuallyowing to heart connected diseases and it’s increasing chop-chop. With the increasing population and illness, it’s become a challenge to diagnosisillness and providing the suitable treatment at the proper time. however,there’sa light-weight of hope that recent advances in technology have


Understanding and clustering hashtags according to their word distributions using NLP in Machine Learning

Abstract: Hashtags (single tokens often composed of natural language n-grams or abbreviations, prefixed with the character ‘#’) are ubiquitous on social networking services, particularly in short textual documents (a.k.a. posts). Authors use hashtags to diverse ends, many of which can be seen as labels for classical NLP tasks: disambiguation (chips #futurism vs. chips #junkfood); identification


Diabetes Prediction Using Machine Learning Approaches and Predication Using AI

Project objective: To analyze data by considering exiting user’s data set and predict what are chances of diabetes in coming five years. Information is shown in the form of different graphs.   Introduction: Data analysis is playing important part in analyzing dataset and predicting what are situations in coming years. This analysis can give option


Bitcoin Price Prediction Using Time Series Analysis Observations Marked with a Timestamp

Abstract: Machine learning and AI-assisted trading have attracted growing interest for the past few years. Here, we use this approach to test the hypothesis that the inefficiency of the crypto currency market can be exploited to generate abnormal profits. We analyze daily data for 1, 681 crypto currencies for the period between Nov. 2015 and

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