[PDF] Top 20 Car Buying Decision using Machine Learning Algorithms
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Car Buying Decision using Machine Learning Algorithms
... of buying a car, there are many aspects that could impact his/her choice on which kind of car he/she is interested ...for buying a car such as a prize, maintenance, comfort, and safety ... See full document
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Diabetes Diagnosis using Machine Learning Algorithms
... of Machine Learning approaches we have the ability to find a solution to this ...of Machine Learning and Data Mining is to extract knowledge from information stored in dataset and generate ... See full document
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Multi Perspective Analysis of News Articles using Machine Learning Algorithms
... many machine learning algorithms are ...data using various machine learning algorithms namely Random Forest Classifier, Decision tree, AdaBoostClassifier, SVM with ... See full document
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Virtual machine scheduling strategy based on machine learning algorithms for load balancing
... and decision tree model is close to 0, the maximum value is near ...two algorithms was small and the sta- bility is high; the minimum error of support vector regression Gaussian model was close to 0, the ... See full document
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Autonomous toolkit to forecast customer churn
... popular machine learning algorithms which applied to the challenging problem of the customer churn in the telecom ...effectively using popular machine learning algorithms ... See full document
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Trend Analysis on Twitter for Predicting Public Opinion on Ongoing Events
... different machine learning algorithms Naïve Bayes, Decision Trees and Support Vector Machine for sentiment classification of Arabic dataset which was obtained from ...three ... See full document
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Sentiment Analysis of Tweets using SVM
... the machine learning algorithms such as Naive Bayes, Maximum Entropy and SVM when trained with emotion tweets can have accuracy more than ...by using machine learning techniques, ... See full document
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Insurance Claim Analysis using Machine Learning Algorithms
... are using machine learning to progress operational competence, from claims registration to claims ...time. Machine learning and predictive models can also equip insurers with a better ... See full document
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Detection of Malware Using Machine Learning Algorithms
... is machine learning ...the machine learning module is responsible for classification and decision ...Vector Machine). SVM is a supervised learning model with associated ... See full document
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Comparison of Classification Algorithms using Machine Learning
... Reinforcement Learning: In this learning focuses on learning from experience, and lies between unsupervised and supervised ...reinforcement learning setting, an agent interacts with its ... See full document
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A Comparative Study on Machine Learning Tools Using WEKA and Rapid Miner with Classifier Algorithms C4.5 and Decision Stump for Network Intrusion Detection
... different machine learning algorithms that are very useful in intrusion detection ...and algorithms have different advantages and disadvantages as follows: ... See full document
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Predicting Cancer using Machine Learning Algorithms
... The machine learning calculation process demonstrated that Machine learning calculations can be utilized viably with high exactness ...superior learning rate. At that point ... See full document
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Detection of Glaucoma Using Machine Learning Algorithms
... a decision tree, each leaf node is assigned a class ...multiple machine learning algorithms to obtain better predictive ...a Decision Tree with each new ...the Decision Tree is ... See full document
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Churn Prediction Using Machine Learning and Recommendations Plans for Telecoms
... model using Naïve Bayes algo- rithm for classification task and then apply Elephant Herding Optimization al- gorithm for solving optimization task used the dataset which was obtained from ...er using naïve ... See full document
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Classification of Emotional States in Parkinson’s Disease Patients using Machine Learning Algorithms
... unit computes distances from the input vector to the training input vectors. when an input is presented, it produces a vector whose elements indicate how close the input is to a training input. The summation unit sums ... See full document
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Land Use/Land Cover Change Detection Analysis using Machine Learning Algorithms: Pune as a use Case
... city in India. According to the 2011 census, Pune urban agglomeration has a population of 5,057,709. Being an IT and automobile hub of the country, there is a rapid growth in urbanization. Pune is also included in the ... See full document
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Agro Genius: Crop Prediction using Machine Learning
... datasets using different machine learning algorithms like LSTM & RNN, ARIMA, Linear Programming (LP), Gastner Newman Cartogram algorithm ... See full document
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An Enhanced Decision Tree Ensemble Technique For Obesity Prediction
... diseases. Machine learning represents a broad array of different techniques, which can be broadly grouped based on the learning ...supervised machine learning technique has been ... See full document
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Multi Criteria Decision Making Technique For Machine Learning Algorithms: Iterative And Non-Iterative Algorithms
... unsupervised learning is a machine learning method where unlabeled dataset is given to the system and it must find the relationship within ...unsupervised learning is to group the data ... See full document
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AN APPROACH FOR FEATURES MATCHING BETWEEN BILATERAL IMAGES OF STEREO VISION SYSTEM APPLIED FOR AUTOMATED HETEROGENEOUS PLATOON
... Firstly, decision trees are known as highly efficient tools of machine learning and data mining, capable to produce accurate and easy-to-understand ...two algorithms in order to obtain a very ... See full document
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