[PDF] Top 20 Thyroid Prediction System using Machine Learning Techniques

Thyroid Prediction System using Machine Learning Techniques

... by using some machine learning ...appropriately using such ...implement prediction of thyroid disease system as not much work has been done on ...a system which ... See full document

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Thyroid Prediction System using Machine Learning Techniques

... The thyroid gland, situated near the base of the throat, secrets a hormone thyroxin which controls many of the metabolic processes like blood pressure, body weight and ...The thyroid disease can be caused ... See full document

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Prediction of landing gear loads using machine learning techniques

... Different approaches have be taken to determine in-service landing gear loads, such as the use of kinematics (accelerations, velocities and displacements) or the use of other measurements such as pressure or strain. ... See full document

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Estimating Rainfall Prediction Using Machine Learning Techniques On A Dataset

... the Machine Learning techniques, The outcome results upon processing is comparable to the recognized class and performance is measured by the amount of accuracy, recall and f ...processing, ... See full document

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Prediction of Breast Cancer Using Supervised Machine Learning Techniques

... It is a linear technique which is used to compress lots of data into something which gives essence of the original data. Based on the variance of the data it plots the actual data into a dimensional space with less ... See full document

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Prediction Of Dibates Malleus Using Machine Learning Classification Techniques

... different techniques have various prediction value or power ...in prediction area. using meta method prediction can be ...[13] using small dataset some algorithm delivers ... See full document

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Early Prediction of Students Performance using Machine Learning Techniques

... self learning and self adapting and have hence been used in a lot of difficult applications like predicting share value, breast cancer to name a ...simplifies learning by assuming that features are ... See full document

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PREDICTION OF CONSOLIDATION CHARACTERISTICS OF CLAYS USING MACHINE LEARNING TECHNIQUES

... tunneling using machine learning techniques including RF ...settlement prediction. This paper focuses on surface settlement prediction using three different methods: ... See full document

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Mobile Price Class prediction using Machine Learning Techniques

... Neural Networks (NN) are more better in estimating price of house, this was concluded in the research of Limsombunchai[4]. By comparing with hedonic method his method was more accurate.Operation of both the methods are ... See full document

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Groundnut Crop Yield Prediction Using Machine Learning Techniques

... Yield prediction is a very important agricultural ...yield prediction was performed by considering farmer's experience on particular field and ...yield using machine-learning technique. ... See full document

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Automatic face image annotation using machine learning techniques

... C. Facial Feature Extraction: After the pre-processing of face image, features are extracted through Neural Networks, Fuzzy Extraction Methods, Local Binary Patterns, Knowledge based approach or Normalization. To extract ... See full document

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Prediction of financial strength ratings using machine learning and conventional techniques

... For more details relating to testing sub-sample 1 (predicting 2007–2009) and testing sub-sample 2 (randomly predicting 33% of the overall sample), the reader is referred to Figure 3 and Figure 4; this illustrates our ... See full document

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Optimum Crop Prediction using Data Mining and Machine Learning Techniques

... Training error is the error that you get when the training model is run on the dataset which was used to train the model that is the training dataset. Testing error arises when the training model is run on the datasets ... See full document

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A Survey on Machine learning assisted Big Data Analysis for Health Care Domain

... ________________________________________________________________________________________________________ Abstract—Health Care is the maintenance or improvement of health. There are multiple processes going on within ... See full document

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Genre detection of documents using hybrid techniques of machine learning

... Document classification is an example of supervised machine learning. It is used to assign one or more categories to documents for making it easier to sort. Classification falls under Text mining. Complete ... See full document

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Methods for the Prediction of Cardio Vascular Diseases in Diabetes patients using Machine Learning Techniques

... classification using only the instance, without a model generation ...efficient learning of the model) of the KNN algorithm are the number of neighbors (K) to be searched and the distance measurement ... See full document

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Stock Market Prediction using Machine Learning Techniques

... We have tried to consider some crucial input variables. By using the back propagation algorithm, it is possible to train the network by error correction and adjusting the weights based on these corrections. Neural ... See full document

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Agro Genius: Crop Prediction using Machine Learning

... crop prediction using machine learning techniques in several ...Different Machine Learning algorithms were used for ...area. Prediction was done for 15 market price ... See full document

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Rainfall prediction using Machine Learning Techniques

... Inference System (ANFIS), ARIMA and SLIQ Decision for the forecast of ...rainfall prediction. Beltrn-Castro[5] used decomposition and ensemble techniques to rainfall on daily ...different ... See full document

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Prediction Of Rainfall Using Machine Learning Techniques

... This prediction mainly helps farmers and also water resources can be utilized ...Rainfall prediction is a challenging task and the results should be ...by using the weather conditions like ... See full document

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