[PDF] Top 20 Using Machine Learning Techniques to Predict Introductory Programming Performance
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Using Machine Learning Techniques to Predict Introductory Programming Performance
... related programming studies in that they are useful predictors at the very start of a module and do not require students to have experienced detailed aspects of the coursework, nor do they require the predictive ... See full document
6
Early Prediction of Students Performance using Machine Learning Techniques
... Machine Learning is the process of learning a set of rules from instances or more generally speaking creating a classifier that can be used to generalize from new instances ...constructed ... See full document
7
Analysis of Student Performance using Machine Learning Techniques
... academic performance of students, administrative accounts, potential knowledge of the faculty, demographic details of the students and many other information in a hidden ...clustered using K-Means algorithm ... See full document
9
Educational Data Mining & Students Performance Prediction using SVM Techniques
... In this paper suggested how social media sites data is helpful in Understanding student learning experience. They collected data about student's problems from twitter. They also developed a workflow to integrate ... See full document
7
Predict Network, Application Performance Using Machine Learning and Predictive Analytics
... powerful programming language that can be used in many different fields to solve real-world ...Python programming language along with a couple of libraries are utilized to analyze the data using ... See full document
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ID3 Classifier for Pupils' Status Prediction
... Databases, Machine Learning, Pattern Recognition, Artificial Intelligence (AI) and Computation capabilities ...various techniques like Classification, Decision Trees, Rule Induction, Nearest ... See full document
5
An Early Stage Software Effort Estimation in Agile Methodology Based On User Stories Using Machine Learning Techniques
... stories, using machine learning techniques to improve the efficiency and accuracy of the business case from various ...the performance of the estimation, the different metrics or ... See full document
8
Prediction Of Default Credit Card Users Using Data Mining Techniques
... oversampling techniques such as SMOTE and ADASYN are used to balance the data. Machine learning methods such as Support Vector Machines, Decision trees, K-nearest neighbours and random forest have ... See full document
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Forecasting price movements using technical indicators : investigating the impact of varying input window length
... investigated using a number of performance ...the performance of the predictive system in terms of the risk taken and the reward ...considered performance measures have demonstrated that the ... See full document
35
Assigning Polarity Scores to Reviews Using Machine Learning Techniques
... Table 8 summarizes the comparison results for different features. For Corpus A, unigram + bigram and unigram + trigram achieved high performance. The per- formance of unigram + inbook was not good, which is ... See full document
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Student placement and skill ranking predictors for programming classes using class attitude, psychological scales, and code metrics
... to predict the placement and ranking results of programming contests via machine learning without such an ...for machine learning are classified into three categories: ... See full document
20
Customer buying Prediction and Recommendation on Transactional dataset: an Overview
... use machine-learning models to analyze customers’ personal and behavioral data to give organization a competitive advantage by increasing customer retention ...can predict customers who are expected ... See full document
5
Application Of Ensemble Machine Learning Methods To Improve Effort Prediction Accuracy
... better performance than KNN and with boosting techniques estimation accuracy can be ...a machine learning model to estimate the effort along with confidence ...effective machine ... See full document
6
Cancer Prediction and Prognosis Using Machine Learning Techniques
... the performance of their ...of machine learning algorithms will become common in many clinical and hospital settings to prevent the delay of treatment ... See full document
5
Machine learning modelling for predicting soil liquefaction susceptibility
... classification learning algorithm into a nonlinear one, by mapping the original observations into a higher-dimensional nonlinear space so that linear classification in the new space is equivalent to nonlinear ... See full document
9
Applicability of Inter Project Validation for Determination of Change Prone Classes
... of techniques for inter project change proneness prediction, namely statistical, machine learning (ML) and AIS ...the machine learning techniques and Sections ...AIS ... See full document
8
Optimum Crop Prediction using Data Mining and Machine Learning Techniques
... Abstract—In this paper, we develop a web based application system that will assist farmers in selecting the crop that is most suitable for his land. This system is better than other systems as it considers various ... See full document
5
Improved Simultaneous Estimation of Location and System Reliability via Shrinkage Ideas
... The study of detection techniques of BHP flooding attack is very limited for OBS networks. This type of attack, which relies on the flooding approach, has been studied in traditional DoS against the TCP protocol ... See full document
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A Comparison of Supervised Learning Techniques for Predicting the Mortality of Patients with Altered State of Consciousness
... supervised learning techniques is a testament that there is no “one size fit all” technique that can be relied upon for data ...NN techniques are promising choices for numerical data, while ... See full document
8
Predicting Diabetes Disease using Effective Classification Techniques
... the Machine Learning Techniques for Diabetes ...style techniques (e.g. DNN (Deep Neural Network), SVM (Support Vector Machine), ...these techniques by the accuracy of ... See full document
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