[PDF] Top 20 Analysis of Student Performance using Machine Learning Techniques
Has 10000 "Analysis of Student Performance using Machine Learning Techniques" found on our website. Below are the top 20 most common "Analysis of Student Performance using Machine Learning Techniques".
Analysis of Student Performance using Machine Learning Techniques
... Suppose that an object is sampled with a set of different attributes, but the group to which the object belongs is unknown. Assuming its group can be determined from its attributes; different algorithms can be used to ... See full document
9
Performance Analysis of Machine Learning Techniques for Intrusion Detection
... is performance analysis of techniques used in machine ...different machine learning techniques and their performance are compared and ...How machine ... See full document
8
Study of Depression Analysis using Machine Learning Techniques
... Oberfeld analysis of time perception of the person is done ...these techniques. By using method of a classical random-effects meta-regression and robust variance estimation, the meta- analysis ... See full document
5
Sentiment Analysis in Facebook using Machine Learning Techniques
... Sentiment analysis is the process of computationally identifying and categorizing opinions expressed in text to determine the users’ attitude towards a particular product is positive, negative or ...for ... See full document
6
Analysis of Students Performance using Modified K Means Algorithm (Machine Learning Techniques)
... MashaelA[9]-These researches has applied decision tree for predicting students final GPA.It used WEKA toolkit .It collect the data from C.s. College at king save university in the year 2012 were collected from the ... See full document
7
Sentiment Analysis of Movie Reviews using Machine Learning Techniques
... dataset using twitter posts of movie reviews and related tweets about those ...sentiment analysis is performed on these ...created using relevant features. Finally, by using different ... See full document
5
Analysis of Banknote Authentication System using Machine Learning Techniques
... different machine learning algorithms and concludes that Decision-Tree and MLP technique is best to classify a bank ...extracted using Fast Wavelet ... See full document
5
Malware Analysis on Android Using Supervised Machine Learning Techniques
... malware analysis and detection in Android ...numerous machine learning algorithms already been proposed or applied to classify or cluster malware including analysis techniques, ... See full document
11
Using Machine Learning Techniques to Predict Introductory Programming Performance
... data analysis; and tests of sample ...Component Analysis (PCA) was implemented to reduce the dimensionality of the ...captured using only a few of the resulting basis ... See full document
6
Automatic face image annotation using machine learning techniques
... D. Classification: After the face is detected, it has to be classified based on gender and age. There are various methods used to classify the human faces. An experiment was carried out, (Malkarthekar et al., 2009) where ... See full document
6
An Early Stage Software Effort Estimation in Agile Methodology Based On User Stories Using Machine Learning Techniques
... Function Point Analysis (FPA) is an adaptable model. In the process of estimating effort, size of the project plays a key role. So, FPA is used to determine both the size as well as the effort needed in developing ... See full document
8
Early Prediction of Students Performance using Machine Learning Techniques
... for student performance to identify the factors causing poor performance in higher secondary examination in Tamil ...performed using Quadratic BN, 1- NN, Prazen Window, Multilayer Perceptron ... See full document
7
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
IMPLEMENTATION AND ANALYSIS OF MACHINE LEARNING APPROACHES AND TECHNIQUES FOR STUDENT DROPOUT PREDICTION
... predicting student dropout. We have carried out several experiments using real data from engineering ...final student performance at the end of the ...experiments using more data and ... See full document
7
Social Media Sentiment Analysis using Machine Learning and Optimization Techniques
... the performance of the classifiers is ...The performance of the classifiers was made for seven datasets (Budget2017, Demonetization, GST2017, Digital India, Kashmir, Make in India, Startup ...best ... 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
Genre detection of documents using hybrid techniques of machine learning
... vector machine for text ...good performance on categorization ...networks. Using four classifiers, namely, naïve bayes, nearest neighbour, decision tree, subspace (Li and Jain, 1998) document ... See full document
5
Identification of Wheel Spinning Cases while Learning and Retaining a Skill in Intelligent Tutoring Systems
... mastery learning data from Cognitive ...the performance of pre-requisite skills influenced the ability to learn post- requisite skills and subsequently lead to wheel ...[7] using step regression ... See full document
5
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
12
The Role of Machine Learning in Internet of Things (IoT) Research: A Review
... and analysis of big data is the key to developing smart IoT ...with machine learning. In recent year, machine learning technique have been used widely because of its technologies such ... See full document
9
Related subjects