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    143 lstm underfitting jobs found, pricing in USD
    Predicting Stock Prices 5 days left
    VERIFIED

    I am interested to develop a tool which can predict stock prices with an accuracy >80%. There are some ideas out e.g. LSTM, MLP classifier incl. sentiment analysis (Twitter, Google, Facebook, Newspaper) etc. What I am looking for is an Python developer which creates this tool together with me, do proper testing of the different possibilities (deep learning

    $7 / hr (Avg Bid)
    $7 / hr Avg Bid
    8 bids

    Hybrid LSTM with Reinforcement

    $10 - $30
    $10 - $30
    0 bids

    Hi, I am looking for senior Machine Learning developer for my project. We use LSTM or RNN to build the models. I have a vietnamese customer review dataset. We will work on this dataset. Please contact with me for more information. Thank you for your attention!

    $1059 (Avg Bid)
    $1059 Avg Bid
    7 bids

    ...experience of Classifier model. Prediction of the action category output. ( 0, 1, 2) Have you created Tensorflow models before? Have you experience with sequence to sequence. LSTM or HMM models... these approaches may have stronger results. Do you think this is something you can acheive? > 75% on accuracy? please see SIDDeval.... this is the accuracy

    $310 (Avg Bid)
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    13 bids

    I'm trying to sense a spectrum using LSTM (machine learning )( a time series prediction problem) technique. I need to add a block to the transmitter and receiver on the GNU Radio using Python(as the machine learning model code, I already have is in python) .I need someone to embed the code properly to make a block in GNU Radio and that's it.

    $135 (Avg Bid)
    $135 Avg Bid
    8 bids

    I need someone to embed the code properly to make a block in GNU Radio and help me .

    $177 (Avg Bid)
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    9 bids

    I tried both regular LSTM and hybrid LSTM for election twitter datasets,both of which gave 70% scores. In literature Reinforced LSTM Deep Learning is stated as much more successful candidate;

    $155 (Avg Bid)
    $155 Avg Bid
    1 bids

    I'm trying to sense a spectrum using LSTM (machine learning )( a time series prediction problem) technique. I need to add a block to the transmitter and receiver on the GNU Radio using Python(as the machine learning model code, I already have is in python) .I need someone to embed the code properly to make a block in GNU Radio and that's it.

    $485 (Avg Bid)
    $485 Avg Bid
    12 bids

    I have a small dataset (5 text files) and need to run a simple Keras model on them.

    $37 (Avg Bid)
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    19 bids

    ...classifying accelerometer data into various road conditions. I have a labeled dataset for various road conditions. I am presently using LSTM to perform the time series classification Working Code: I have a working LSTM classification code which runs perfectly on a different dataset. # The code directory name is --Description of the working project

    $123 (Avg Bid)
    $123 Avg Bid
    7 bids

    Looking for experienced data scientist having history in stock prediction We prefer Tensorflow for modelling and training. We expect your experienced model for stock predic...in stock prediction We prefer Tensorflow for modelling and training. We expect your experienced model for stock prediction. My favorite model is Multi Linear Regression and LSTM.

    $20 / hr (Avg Bid)
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    10 bids

    Need help in explaining a code which has the following Python, RNN, LSTM, Time Series data, Pytorch

    $225 (Avg Bid)
    $225 Avg Bid
    5 bids

    I have a basic Keras/tensorflow LSTM model, for some time series data. Fairly simple, I need someone to: 1. export the model to Google ML Engine. I can give you my model in Juypter or you can create your own example. 2. create a Cloud function to call and return a prediction from this (eg given last 5 data points, what will happen next). There are a

    $33 (Avg Bid)
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    3 bids

    Looking for experienced data scientist having history in stock prediction We prefer Tensorflow for modelling and training. We expect your experienced model for stock predic...in stock prediction We prefer Tensorflow for modelling and training. We expect your experienced model for stock prediction. My favorite model is Multi Linear Regression and LSTM.

    $19 / hr (Avg Bid)
    $19 / hr Avg Bid
    8 bids

    I want to build an lstm model to predict price fluctuation based on twitter comments. Comments are grouped for each hour and prices are collected for each hour. Accuracy of the model must be good. Besides the model we need to extract those terms which are affecting any price changes for each hour Programming language needed to be used in Python

    $619 (Avg Bid)
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    16 bids

    I am looking for an expert, even a Ph.D. student in ML to help me with a classification/LSTM problem The model is now able to predict one step ahead, but I want it to predict more than one step ahead.

    $28 / hr (Avg Bid)
    $28 / hr Avg Bid
    23 bids

    Hello, I have a LSTM code implemented in R/tensorflow and need it to provide a prediction for a new datapoint completely outside the dataset. Unsure of the final line of code needed to make it happen. Can you help?

    $7 (Avg Bid)
    $7 Avg Bid
    1 bids

    Hello, I have a LSTM code implemented in R/tensorflow and need it to provide a prediction for a new datapoint completely outside the dataset. Unsure of the final line of code needed to make it happen. Can you help?

    $7 (Avg Bid)
    $7 Avg Bid
    1 bids

    Hello all, I have a sample deep learning (keras/LSTM) code that applies to time series data. I need it to forecast/predict T+ 1,2, or 3 periods forward from whatever data has been provided (note that an optimal model is trained, validated and tested). Need an experienced R coder to add this potentially single line of code in the code for me.

    $10 / hr (Avg Bid)
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    4 bids

    Hello all, I have a sample deep learning (keras/LSTM) code that applies to time series data. I need it to forecast/predict T+ 1,2, or 3 periods forward from whatever data has been provided (note that an optimal model is trained, validated and tested). Need an experienced R coder to add this potentially single line of code in the code for me (budget

    $7 - $22
    $7 - $22
    0 bids

    Hi. I've a Deep Learning/Machine Learning Project. If you can train a LSTM/RNN model in python for classification of images, Please message for details.

    $148 (Avg Bid)
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    29 bids

    The project is almost finished. All I need is forecasting function, something is wrong with the script. I'll send the .ipynb after the discussion.

    $51 (Avg Bid)
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    9 bids

    perform RNN (recurrent neural network) on dataset in python using LSTM pr GRU

    $14 / hr (Avg Bid)
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    18 bids

    LSTM model is already created with good errors. Already written in python. ** All it needs a good forecasting function. (According to the error ) We will discuss it. ** You can find the data below in the attachment Section. Feel free to look into it!

    $53 (Avg Bid)
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    4 bids

    I'm getting "nan" as loss value while training my LSTM model. Im have a dataset of 3648 rows. Number of LSTM layer : 4 Number of neurons in one LSTM : 50 Dropout : 0.2 Optimizer : Adam Loss : mean_squared_error Epochs : 100 batch size : 32. Please find attached the source code and the dataset.

    $25 (Avg Bid)
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    Building 3 simple models and using the mean absolute percentage error (MAPE) compare models and visualize prediction prices and accuracy. Goal - Predict bitcoin price using 3 models from above. - Aggregate timestamp to 10 min. - Predict every next 10 min. - Visualize prediction between 1 SEP 2018 - 30 SEP 2018 Requirement - Using Jupyter Notebook (.ipynb) - Python (Keras) Neural Network should n...

    $132 (Avg Bid)
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    ...parametrs: - optimizer (nag is default) i need to run "adam" - trainign works but transaltion gives errors - arch (fconv is default) i need to run: fconv_lm, transformer_lm, lstm - training gives error, transformer - trains but wrongly transaltes some random text repeated all the time. I changed all in accordance to [login to view URL]

    $630 (Avg Bid)
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    i am a researcher , need to implement deep learning algorithm based Convolutional Neural Network (CNN) and Long Short Term Memory (LSTM) to detect changes between two images

    $187 (Avg Bid)
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    15 bids

    LSTM on NLP 2019 LSTM on NLP 2019 LSTM on NLP 2019

    $189 (Avg Bid)
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    14 bids

    LSTM Hybrid with 2 D RNN LSTM Hybrid with 2 D Recurrent Neural Network

    $25 (Avg Bid)
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    LSTM Hybrid with 2 D RNN LSTM Hybrid with 2 D Recurrent Neural Network

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    ...the Notebook is about: LSTM-stocks-prediction: Contains a LSTM model written from scratch in Tensorflow - this illustrates how LSTM cells work - it is my opinion that someone more versed than me will easily be able to convert this model to a DGM. LSTM-Neural-Network-for-Time-Series-Prediction: Contains a more sophisticated LSTM model PDE_DGM: Contains

    $17 / hr (Avg Bid)
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    Hello, I need a function written in c++ (qt, ubuntu) that takes input 2 vector<double> and outputs which one of the 2 vectors is behind (lagging) and by how much. The solution has to implement reinforcement-learning (RT) techniques (Q-Learning?) on a RNN (recurent neural net) using your choice library (propose, explain why the choice). The NeuralNetwork will be "default" trained ...

    $1103 (Avg Bid)
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    ...the Notebook is about: LSTM-stocks-prediction: Contains a LSTM model written from scratch in Tensorflow - this illustrates how LSTM cells work - it is my opinion that someone more versed than me will easily be able to convert this model to a DGM. LSTM-Neural-Network-for-Time-Series-Prediction: Contains a more sophisticated LSTM model PDE_DGM: Contains

    $124 (Avg Bid)
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    12 bids

    To Build an LSTM model based on a document term matrix provided by my end. To be done in tensorflow and briefly explained

    $70 (Avg Bid)
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    9 bids

    I am surveying on a topic Software Cost Estimations with Machine Learning models. And I came to know that LSTM can be used to predict time series/schedule for a software project from an open dataset. Can anyone please explain to me how this can be achieved?

    $155 (Avg Bid)
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    I need someone to train an LSTM model for me for crypto market price predication. The model should be able to predict the price/trend of the price in the next x time (e.g. 30 minutes) using the data for the past y time (e.g. 6 hours). Getting a probability of price movement would be nice as well. The model should be multivariant and be able to accept

    $152 (Avg Bid)
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    Feature selection via [login to view URL], Then compare all machine learning algorithms like NB, SVM, ANN with LSTM performance. All implementations must be coded in Phyton via Keras platform

    $39 (Avg Bid)
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    7 bids

    We are running a sales prediction model by external variables, such as weather and etc. Currently, we are using Time Series, XG Boost Model and LSTM - RNN Models. We only know how to run the model from api on amazon aws sagemaker (Python). But we are lacking of experience on tunning the model and selection of correct algorithms. Right now, we need someone

    $83 / hr (Avg Bid)
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    30 bids

    Feature selection via word2vect tool; [login to view URL], Then experiments with lstm nw structure to find the most enhanced version

    $90 (Avg Bid)
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    2 bids

    Currently, we are building an RNN(LSTM) Model to predict sales. But model is not working well, and we are trying to add modules to improve the forecast accuracy. We need an expert on machine learning to give us some advices. We prefer to talk with you over the phone directly. Thank you!

    $55 / hr (Avg Bid)
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    29 bids

    ...knowledge in machine learning to help me set up an algorithm for stock price prediction and predict if a stock will go Up or Down. Technology: Python using Sklearn module, RNN, LSTM or similar ( Preferred ) Experience using hyper parameters - like Adam Optimizer. H2o (automl) ( [login to view URL] ) I will

    $631 (Avg Bid)
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    ...looking for an expert who has some deep knowledge in machine learning to help me set up an algorithm for stock price prediction. Technology: Python using Sklearn module, RNN, LSTM or similar ( Preferred ) I will deliver : Sample Code to Download Data Technical Indicators Code Calculation. The person should be able: Setup whole machine learning

    $757 (Avg Bid)
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    ...looking for an expert who has some deep knowledge in machine learning to help me set up an algorithm for stock price prediction. Technology: Python using Sklearn module, RNN, LSTM or similar ( Preferred ) I will deliver : Sample Code to Download Data Technical Indicators Code Calculation. The person should be able: Setup whole machine learning

    $550 (Avg Bid)
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    18 bids

    I am getting an error in keras for a stacked lstm model.I am attaching the file below please see the error once before bidding once accepted you will have to work with me on teamviewer to resolve the error.

    $225 (Avg Bid)
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    2 bids

    Hybrid Lstm with feature selection is achieved by SVM

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    1 bids

    Hybrid Lstm with feature selection is achieved by SVM/ANN

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    ...Classification. The main description can be found in this StackExchange Post actually: [login to view URL] You can also find a previous version of it in this Jupyter Notebook: [login to view URL] If you can point me towards

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    ...but they don't seem to work either). I expect the problem to be easy for someone more or less experienced, and so would be really really thankful if the final code had an LSTM architecture instead of the normal one I'm using now. I have some other Deep Learning projects I need help with also, so if you can nail what I'm doing wrong here, be sure that

    $185 (Avg Bid)
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    Needs: * Do another version of my work with AT-LSTM (I already used LSTM with 3 layers) Use the existing data prep. * Do a report to compare both approach (my existing model and the new one). -- Code done with python (Keras lib) -- I have datasets (train - test set) and my actuel accuracy is 67% -- I'm using Jupyter notebook.

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