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GPA prediction using Machine Learning

i want to predict gpa of a university, which has fours semesters. hence i tried to develop four models using neural networks by coding in python language and applied keras Deep Neural Network regressor for training and testing the model. some how i was able to get mean absolute error errors in range of 0.15 -0.27 (for four models) . the accuracy of the models are in range 35%-50%. so i want to help in increasing the accuracy and decreasing the mean absolute error, also it will be greatful if i could get other model metrics( accuracy and mean absolute error ). accuracy here it measuring the predicted and actual gpa in difference of 0.1.

Evner: C programmering, CUDA, Maskinoplæring, Python, Programmeringssproget R

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( 0 bedømmelser ) India

Projekt ID: #17323652

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I can help you increase the accuracy,

₹5555 INR in 20 dage
(18 bedømmelser)

24 freelancere byder i gennemsnit ₹6103 på dette job


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₹6333 INR in 3 dage
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(12 bedømmelser)

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I have been working as data scientist from last 4 years while experiencing such issues everyday. Working on creating customised metric as well as sometime the given metric does not suits the problem statement.

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(1 bedømmelse)

hello dear , kindly elaborate your problem details , the questions so far how many instances of dataset you are using model types etc evaluation metrics I can definitely provide you a better solution after gett Flere

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Hey, I am highly interested in doing this project. Give me chance to increase accuracy or apply some other ML algorithms

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Completed my master's degree in Robotics Engineering which consisted of using neural networks in Tensorflow/Keras.

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