Search engine for discovering works of Art, research articles, and books related to Art and Culture
Javascript must be enabled to continue!
Stock Price Prediction using KNN and Linear Regression
View through CrossRef
Machine learning is a method of data analysis that automates analytical model building. It is a branch of artificial intelligence based on the idea that systems can learn from data, identify patterns and make decisions with minimal human intervention. With the ever increasing amounts of data becoming available there is good reason to believe that smart data analysis will become even more pervasive as a necessary ingredient for technological progress. It is an important challenge for the people who invest their money to forecast the daily stock prices, which helps them to put money into stock market with credence by taking risks and also variations into considerations. In this paper, we are going to apply KNN method and linear regression for predicting the stocks. The performance of linear Regression model on the selected data set is better when compared to KNN algorithm technique. The stock holders can invest confidently based on the results obtained from the model.
Blue Eyes Intelligence Engineering and Sciences Engineering and Sciences Publication - BEIESP
Title: Stock Price Prediction using KNN and Linear Regression
Description:
Machine learning is a method of data analysis that automates analytical model building.
It is a branch of artificial intelligence based on the idea that systems can learn from data, identify patterns and make decisions with minimal human intervention.
With the ever increasing amounts of data becoming available there is good reason to believe that smart data analysis will become even more pervasive as a necessary ingredient for technological progress.
It is an important challenge for the people who invest their money to forecast the daily stock prices, which helps them to put money into stock market with credence by taking risks and also variations into considerations.
In this paper, we are going to apply KNN method and linear regression for predicting the stocks.
The performance of linear Regression model on the selected data set is better when compared to KNN algorithm technique.
The stock holders can invest confidently based on the results obtained from the model.
Related Results
Multi-objective Decision Making Model for Stock Price Prediction Using Multi-source Heterogeneous Data Fusion
Multi-objective Decision Making Model for Stock Price Prediction Using Multi-source Heterogeneous Data Fusion
Stock exchanges are developed as an essential component of economies, as they can promote financial and capital gain. The stock market is network of economic connections where shar...
STTG-net: a Spatio-temporal network for human motion prediction based on transformer and graph convolution network
STTG-net: a Spatio-temporal network for human motion prediction based on transformer and graph convolution network
AbstractIn recent years, human motion prediction has become an active research topic in computer vision. However, owing to the complexity and stochastic nature of human motion, it ...
Categorisation of the length of bowhead whales from British Arctic whaling records
Categorisation of the length of bowhead whales from British Arctic whaling records
British whalers were the first and last from Europe to hunt bowhead whales (Balaena mysticetus) commercially from the Arctic whaling grounds of the Greenland Sea (East Greenland-Sv...
Flutter prediction on combined EPS and carbon sandwich structure for light aircraft wing
Flutter prediction on combined EPS and carbon sandwich structure for light aircraft wing
Flutter prediction is an important step before conducting a flight test. In this study, we performed flutter prediction of a half-wing structure without control surfaces. The half-...
Diabot: A Predictive Medical Chatbot using Ensemble Learning
Diabot: A Predictive Medical Chatbot using Ensemble Learning
Accessibility to medical knowledge and healthcare costs are the two major impediments for common man. Conversational agents like Medical chatbots, which are designed keeping in vie...
Minoan Linear A: A Provisional Balance Sheet
Minoan Linear A: A Provisional Balance Sheet
The decipherment in 1952 by Michael Ventris of the prehistoric script known as Minoan Linear B at once suggested that here lay the key to the earlier Cretan script called Linear A....
Prediction of Teenager Depression Based on Social Skill, Peer Attachment, Parental Attachment and Self-esteem
Prediction of Teenager Depression Based on Social Skill, Peer Attachment, Parental Attachment and Self-esteem
<p>The study examined prediction of teenager depression based on social skill, peer attachment, parental attachment and self-esteem. The type of this study is descriptive-cor...
The empirical research of teamwork competency factors and prediction on academic achievement using machine learning for students in Thailand
The empirical research of teamwork competency factors and prediction on academic achievement using machine learning for students in Thailand
Introduction. Teamwork competencies are important for achieving the success of education, developing a meaningful and lifelong career, bringing new ideas, helping to solve problems...
Recent Results
Discovery of Vespasiano Bignami paintings at the National Theatre of Costa Rica through technical photography and UV–Vis spectroscopy
Discovery of Vespasiano Bignami paintings at the National Theatre of Costa Rica through technical photography and UV–Vis spectroscopy
AbstractEstablishing and understanding large format paintings are key to provide accurate information about the artist’s palette and developing conservation strategies. Therefore, ...
The evolution of a basaltic fissure eruption
The evolution of a basaltic fissure eruption
Basaltic eruptions produce lava flows that have the potential to destroy local infrastructure and emit toxic gas and particles that may adversely impact public health. Predicting t...
Listening and hearing Carmen: Sonic cartographies of struggle in U-Carmen eKhayelitsha (2005)
Listening and hearing Carmen: Sonic cartographies of struggle in U-Carmen eKhayelitsha (2005)
Abstract Situating U-Carmen eKhayelitsha (2005) within a diasporic genealogy of black opera that privileges black sonic/aural epistemologies, I am interested in how these knowledge...
Your session has timed out for security reasons.