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.
24 freelance font une offre moyenne de ₹6103 pour ce travail
I have a good hands on working with Advanced Excel, R and Python and BI tools and technologies, AI, Big Data. I have quite a good knowledge of DL/ML Algorithm , have also developed Dashboards and Web Application. My ar Plus
I am a professional ML/NLP Engineer in an IT company with 3+ years of Python, Machine learning and Natural Language processing, have experience working with many challenging problems and also with different tools and Plus
have 3 years experience in data science field, I`m interested in large-scale data mining and machine learning, I have experience building really fast and accurate machine-learning and deep-learning models in Python. I Plus
I can train the regressor to make it learn with good accuracy. I have 2.5+ years of experience in machine learning, computer vision, and deep learning. I have worked on Sentiment analysis using NLP and RNNs, GANs, CNN Plus
I am [login to view URL] from IIT Delhi. I have done specialisations in machine learning and deep learning. I have worked on Predictive Analytics,data mining, Object Detection and Object Recognition problems. Some of the samp Plus
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I have 3 yrs of experience as statistical analyst. My skills include preprocessing, descriptive statistics, Testing hypothesis, predictive modeling/Machine learning, Dimension reduction using R, SPSS. I have strong Plus
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.
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 Plus
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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
Completed my master's degree in Robotics Engineering which consisted of using neural networks in Tensorflow/Keras.
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