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Data science is the field of study that combines domain expertise, programming skills, and knowledge of mathematics and statistics to extract meaningful insights from data. The insights based on numbers, statistics, and trends from data are used to make decisions towards achieving a specific business goal.
This approach to check the inefficiency of the crypto currency market is often exploited to get abnormal profits. It analyzed stock markets prediction; these methods might be effective also in predicting crypto currencies prices.
A machine learning model is that the output generated when to coach machine learning algorithm with data. After training, it provides a model with an input and output. It is often utilized in real time to find out from data.
The improvements in accuracy are a result of the training process and automation that are a part of machine learning.
It captures trends on water levels in wells and rainfall model explores the correlation between the rainfall levels and water levels. The periodic are developed only using the water level data of wells while the rainfall model also uses the rainfall data.
Intrusion detection system is a system that monitors and analyzes data to detect any intrusion in the system or network. High volume, variety and high speed of data generated in the network have made the data analysis process to detect attacks by traditional techniques very difficult.
The technique that allows machines to read and understand through human emotions and extract useful insights for many businesses to grow and develop in the field. Hotel review collected from the guests can be classified into three subclasses positive, negative, or neutral and therefore it can analyze the sentiment of the customer.
Sentiment analysis methods have been used to improve the predictive results of counting methods. It significantly in relation to the observation period, the data collection and cleansing methods, and the performance evaluation strategy.
This oversight by developing tools and techniques that deliver state-of-the-art performance in a variety of language processing tasks. Machine translation is most active area of research, but also worked on statistical parsing and part-of-speech tagging.
It can be detected by developing an accurate prediction model which will be capable of automatic separation of various accidental scenarios. The cluster will be useful to prevent accidents and develop safety measures.
It acquires maximum possibilities of accident reduction by using some scientific measures.
It utilizes smart data as a means of learning and discovering human activity patterns for health care applications. This uses frequent pattern mining, cluster analysis, and prediction to measure and analyze energy usage changes sparked by occupant’s behavior.
This system will prevent crime occurring in society. It is analyzed which is stored in the database. Data mining algorithm will extract information and patterns from database.
It will be done based on places where crime occurred, gang who involved in crime took place. This will help to predict crime which will occur in future.
Malicious Web sites promote the growth of Internet criminal activities and constrain the development of Web services. It develops systemic solution to stopping the user from visiting such Web sites.
It eliminates the possibility of exposing users to the browser-based vulnerabilities.
This dataset was used to evaluate prediction algorithms in an effort to reduce burden on doctors. It will take results of how much percentage patients get disease as a positive information and negative information.
The, outputs show from proposed classification model indicate that Accuracy in predicting the result.
It reduces risk factor behind selecting the safe person so as to save lots of bank efforts and assets. The analysis will be done to find the most relevant attributes, the factors that affect prediction result the most.
The exponential growth of social media such as Twitter and community forums has revolutionized communication and content publishing, and also increasingly exploited for the propagation of hate speech and the organization of hate-based activities.
Stock market prediction is the act of trying to determine the future value of a stock from social media social media offers a robust outlet for people thoughts and feelings Analysis of social media is strongly related to sentiment analysis.
It is used for analyzing social network content and improves the average accuracy.
The proposed framework analyzes the students’ demographic data, study related and psychological characteristics to extract all possible knowledge from students, teachers and parents. The highest possible accuracy in academic performance prediction using a set of powerful data mining techniques.
The models for detecting student states and for associating adaptive system strategies with such states were learned from tutoring dialogue corpora using new data-driven methods.
It mainly focused on credit card fraud detection using Deep Learning. After classification process of random algorithm to analyze data set and user provide current dataset.
It will apply the processing of some of the attributes provided can find affected fraud detection in viewing the graphical model visualization.
It describes incorrect and misleading articles published mostly for the purpose of making money through page views. The topic of machine learning methods for deception detection, it has been focusing on classify online reviews and publicly available social media posts.
This method can be extended on any platform that needs classification to be deployed on public profiles for various purposes. It uses available information which makes it convenient for organizations to avoid any breach of privacy.
The organizations use private data to further extend the capabilities of the proposed model.
Prediction of rainfall gives awareness to people and know in advance about rainfall to take certain precautions to protect the crop from rainfall. It was concluded the enhancements, optimizations and integrations of data mining methods are vital to explore and solve these problems.
It is an effective and efficient malicious applications detection tools needed to tackle and handle new complex malicious apps created by hackers. With idea of using machine learning approaches for detect the malicious android application.
Performance analysis of outcome based on learning is a system which will strive for excellence at different levels and diverse dimensions in the field of student’s interests. It analyzes the student’s demographic data, and psychological characteristics to extract all possible knowledge
Hashtag prediction is the task of mapping text to its accompany hashtags. In this process a hashtag prediction show useful surrogate for learning good representations of text.
This hashtag based detailed query show the result as whether it will be positive or negative and random forest algorithm.
With emerge of Big Data, the traditional techniques become more complex to deal with Big Data. It intends to use Big Data techniques to produce high speed and accurate intrusion detection system.
The results of the experiment showed that model has high performance and efficient for Big Data.
Deep learning is usually associated with having a high number of input layers, one or more hidden layers that connect input layers and perform computational algorithms to determine a probability to predict.
This data set consists of information of user who age, type of symptoms related to diabetes. Data is classified and shown in the form of different graphs. The easy data analysis will show results of medical information of changes of getting diabetes on universal plots.
The main purpose of this research is to develop machine learning algorithms for predicting the percentage of student placement based on the data related to the university’s academic reputation, opportunities of the city where the university is located, facilities and cultural opportunities of the university.
The method of extracting these from the original huge text without losing vital information. It is to identify the important sections, interpret the context and reproduce in a new way.
This ensures that the core information is conveyed through shortest text possible.
The review text content analysis and uses the principles of natural language process. This method insights can be drawn from the relationship between costumers and items.
This is based on recommend systems, specific on collaborative filter, and focuses on the reviewer’s point of view.
Agriculture is the backbone of the Indian economy. Machine learning techniques is use to predict and yield of the crop. It analyzes the data and process the data to get better predictions.
This improve the performance of machine learning models and build an easy-to-use web application.