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    6,859 web bot source code activex chilkat prediction trabalhos encontrados, preços em USD

    Precisamos da criação de um software, no formato de um componente (ActiveX ou dll), o qual possamos incorporar em nossos sistemas. Este componente irá receber um conjunto de endereços de entregas ou coletas (rua, cidade, uf, cep), que devem ser feitos por uma transportadora. Uma vez que estes endereços sejam enviados ao componente, deve-se mostrar

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    3 ofertas
    Data mining health data 6 dias left
    VERIFICADO

    Data mining stroke data for stroke prediction

    $429 (Avg Bid)
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    I am looking for someone to recreate the code from the following paper with one working example [login to view URL]~ali/papers/PDEandDeepLearning.pdf#chapter.1 I am interested in an implementation of 6.5 (and possibly 6.2) This is a deep learning code written in Python/ Tensorflow. [login to view URL]

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    ...predicted direction for SQQQ and TQQQ and the price prediction - By bidding, you agree to assign all copyright in the work you deliver to me. - No false bid prices - Failure to communicate daily or commit code will result in negative feedback Project Looking to build a model that gives a daily price prediction for 2 stocks using tensorflow and python or R

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    Hey, I'm working on Machine Learning project (which has different classification techniques) to predict the direction of stock price. Please find the attached pdf. If you are confident enough to solve it properly ping me we can discuss more

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    ...new virtual instance in a cloud is not instantaneous; cloud hosting platforms introduce several minutes delay in the hardware resource allocation. In this paper, we develop prediction-based resource measurement and provisioning strategies using Neural Network and Linear Regression to satisfy upcoming resource demands. Experimental results demonstrate that

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    I am looking for someone with statistical/mathematical background and LateX knowledge to prepare short text (3/4 or one page max) about one of methods of prediction based on literature. More details in messages.

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    Hello, I have an application that tracks visitors to a building. The building has several rooms. The sensors detect visitors in and out of each room every 15 seconds. So, in my db, which would drive the data for this I simply have a record for each room, with the timestamp (every 15 seconds), the inbound counts since last refresh, the outbound since last refresh and the total occupancy at that tim...

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    prediction with model works on train set but not on test set: Error in [login to view URL](xgb1, dtest) : Feature names stored in `object` and `newdata` are different! Fix this issue

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    I have a dataset for which I need to predict y and calculate RMSE. For prediction, you can use different algorithms.

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    12 ofertas

    ...new virtual instance in a cloud is not instantaneous; cloud hosting platforms introduce several minutes delay in the hardware resource allocation. In this paper, we develop prediction-based resource measurement and provisioning strategies using Neural Network and Linear Regression to satisfy upcoming resource demands. Experimental results demonstrate that

    $18 (Avg Bid)
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    1 ofertas
    finding papers 3 dias left

    I want 10 papers about financial credit prediction after 2013 and summarized them in a table such that: Methods Models Advantages Limitations Validation Evaluation

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    17 ofertas

    computer engineering software fault prediction data mining

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    I want to combine DE optimization technique with Adaboost for prediction performance model of student

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    Join the team building the next-generation live sports prediction game show. HOFr is looking for a white box QA Engineer to devise and execute tests for evolving features in this real-time, mobile, interactive game show. In this role you’ll work closely with a geographically distributed development team to devise test approaches for complex new capabilities

    $34 / hr (Avg Bid)
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    Need to predict the future trajectory using Kalman based prediction as data taken from the vision sensor [Already have the data].

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    Prediction model is currently based on R coding. It is a regression model. Coding needs to be converted to Python and need to re-assess whether another type of model (regression or non-regression) would most probably lead to a stronger model fit.

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    Clean and prepare data for machine learning. Explore data to look for corre...look for correlations between the features and the target variable. Apply machine learning algorithms to the task of regression/prediction. Improve on skills and competencies required to compare the performance of prediction algorithms. Improve the performance of your model.

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    Data mining expert Encerrado left

    I am looking for someone who will help me with time series prediction using R. I can provide data. If you are an expert in this field, please do not hesitate to bid. thanks.

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    C++ - Map Implementation - recommendation model - Distance Algorithms

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    I need a good code to start with for the Kaggle PLAsTiCC Astronomical Prediction competition. I now rank very poorly and need a model which can rank me within the top 10% of the contenders. I also want the modelling to be done in R.

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    Writes xml reader, enter expences and reports views. prediction view for expense for specific date and prediction algorithm.

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    in this project we will analyse the data make visualisations and also make predictions using the dataset

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    ...methods, such as confidence intervals, where it will be estimated the performance of the classifiers. Our selection is to use the Conformal Prediction which gives the confidence level of each output prediction. Runtime: At the end of the tuning phase, after having analyzed the behavior of the device firmware, the Security Engine is able to detect all

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    ...methods, such as confidence intervals, where it will be estimated the performance of the classifiers. Our selection is to use the Conformal Prediction which gives the confidence level of each output prediction. Runtime: At the end of the tuning phase, after having analyzed the behavior of the device firmware, the Security Engine is able to detect all

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    Project for Gili L. 16 horas left

    ...methods, such as confidence intervals, where it will be estimated the performance of the classifiers. Our selection is to use the Conformal Prediction which gives the confidence level of each output prediction. Runtime: At the end of the tuning phase, after having analyzed the behavior of the device firmware, the Security Engine is able to detect all

    $250 (Avg Bid)
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    ...methods, such as confidence intervals, where it will be estimated the performance of the classifiers. Our selection is to use the Conformal Prediction which gives the confidence level of each output prediction. Runtime: At the end of the tuning phase, after having analyzed the behavior of the device firmware, the Security Engine is able to detect all

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    Looking to build a model that gives a daily price prediction for 2 stocks using tensorflow and python or R. The two stocks we wish to predict are SQQQ and TQQQ on the NASDAQ. At 10.00pm Sydney time each night I want a direction prediction and a price prediction for both SQQQ & TQQQ. They are 3x leveraged ETFs which are driven by the change in the

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    Need a tensorflow/machine learning expert for prediction and later to integrate with an API

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    ADC
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    ...methods, such as confidence intervals, where it will be estimated the performance of the classifiers. Our selection is to use the Conformal Prediction which gives the confidence level of each output prediction. Runtime: At the end of the tuning phase, after having analyzed the behavior of the device firmware, the Security Engine is able to detect all

    $250 (Avg Bid)
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    1 ofertas

    ...methods, such as confidence intervals, where it will be estimated the performance of the classifiers. Our selection is to use the Conformal Prediction which gives the confidence level of each output prediction. Runtime: At the end of the tuning phase, after having analyzed the behavior of the device firmware, the Security Engine is able to detect all

    $250 (Avg Bid)
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    1 ofertas

    ...methods, such as confidence intervals, where it will be estimated the performance of the classifiers. Our selection is to use the Conformal Prediction which gives the confidence level of each output prediction. Runtime: At the end of the tuning phase, after having analyzed the behavior of the device firmware, the Security Engine is able to detect all

    $250 (Avg Bid)
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    1 ofertas

    ...methods, such as confidence intervals, where it will be estimated the performance of the classifiers. Our selection is to use the Conformal Prediction which gives the confidence level of each output prediction. Runtime: At the end of the tuning phase, after having analyzed the behavior of the device firmware, the Security Engine is able to detect all

    $250 (Avg Bid)
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    1 ofertas

    ...methods, such as confidence intervals, where it will be estimated the performance of the classifiers. Our selection is to use the Conformal Prediction which gives the confidence level of each output prediction. Runtime: At the end of the tuning phase, after having analyzed the behavior of the device firmware, the Security Engine is able to detect all

    $251 (Avg Bid)
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    1 ofertas

    ...methods, such as confidence intervals, where it will be estimated the performance of the classifiers. Our selection is to use the Conformal Prediction which gives the confidence level of each output prediction. Runtime: At the end of the tuning phase, after having analyzed the behavior of the device firmware, the Security Engine is able to detect all

    $250 (Avg Bid)
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    1 ofertas

    ...methods, such as confidence intervals, where it will be estimated the performance of the classifiers. Our selection is to use the Conformal Prediction which gives the confidence level of each output prediction. Runtime: At the end of the tuning phase, after having analyzed the behavior of the device firmware, the Security Engine is able to detect all

    $250 (Avg Bid)
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    1 ofertas

    ...methods, such as confidence intervals, where it will be estimated the performance of the classifiers. Our selection is to use the Conformal Prediction which gives the confidence level of each output prediction. Runtime: At the end of the tuning phase, after having analyzed the behavior of the device firmware, the Security Engine is able to detect all

    $250 (Avg Bid)
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    1 ofertas

    ...methods, such as confidence intervals, where it will be estimated the performance of the classifiers. Our selection is to use the Conformal Prediction which gives the confidence level of each output prediction. Runtime: At the end of the tuning phase, after having analyzed the behavior of the device firmware, the Security Engine is able to detect all

    $250 (Avg Bid)
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    1 ofertas

    ...methods, such as confidence intervals, where it will be estimated the performance of the classifiers. Our selection is to use the Conformal Prediction which gives the confidence level of each output prediction. Runtime: At the end of the tuning phase, after having analyzed the behavior of the device firmware, the Security Engine is able to detect all

    $250 (Avg Bid)
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    1 ofertas

    ...methods, such as confidence intervals, where it will be estimated the performance of the classifiers. Our selection is to use the Conformal Prediction which gives the confidence level of each output prediction. Runtime: At the end of the tuning phase, after having analyzed the behavior of the device firmware, the Security Engine is able to detect all

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    Project for Kemal H. Encerramento left

    ...methods, such as confidence intervals, where it will be estimated the performance of the classifiers. Our selection is to use the Conformal Prediction which gives the confidence level of each output prediction. Runtime: At the end of the tuning phase, after having analyzed the behavior of the device firmware, the Security Engine is able to detect all

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    Project for Robert Y. Encerramento left

    ...methods, such as confidence intervals, where it will be estimated the performance of the classifiers. Our selection is to use the Conformal Prediction which gives the confidence level of each output prediction. Runtime: At the end of the tuning phase, after having analyzed the behavior of the device firmware, the Security Engine is able to detect all

    $250 (Avg Bid)
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    Project for Xiaodong C. Encerramento left

    ...methods, such as confidence intervals, where it will be estimated the performance of the classifiers. Our selection is to use the Conformal Prediction which gives the confidence level of each output prediction. Runtime: At the end of the tuning phase, after having analyzed the behavior of the device firmware, the Security Engine is able to detect all

    $250 (Avg Bid)
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    Project for Joan A M. Encerramento left

    ...methods, such as confidence intervals, where it will be estimated the performance of the classifiers. Our selection is to use the Conformal Prediction which gives the confidence level of each output prediction. Runtime: At the end of the tuning phase, after having analyzed the behavior of the device firmware, the Security Engine is able to detect all

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    1 ofertas
    Project for Daniyal A. Encerramento left

    ...methods, such as confidence intervals, where it will be estimated the performance of the classifiers. Our selection is to use the Conformal Prediction which gives the confidence level of each output prediction. Runtime: At the end of the tuning phase, after having analyzed the behavior of the device firmware, the Security Engine is able to detect all

    $250 (Avg Bid)
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    1 ofertas
    Project for Yuan N. Encerramento left

    ...methods, such as confidence intervals, where it will be estimated the performance of the classifiers. Our selection is to use the Conformal Prediction which gives the confidence level of each output prediction. Runtime: At the end of the tuning phase, after having analyzed the behavior of the device firmware, the Security Engine is able to detect all

    $250 (Avg Bid)
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    Project for Aqeel F. Encerramento left

    ...methods, such as confidence intervals, where it will be estimated the performance of the classifiers. Our selection is to use the Conformal Prediction which gives the confidence level of each output prediction. Runtime: At the end of the tuning phase, after having analyzed the behavior of the device firmware, the Security Engine is able to detect all

    $250 (Avg Bid)
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    1 ofertas
    Project for Xiaoqi D. Encerramento left

    ...methods, such as confidence intervals, where it will be estimated the performance of the classifiers. Our selection is to use the Conformal Prediction which gives the confidence level of each output prediction. Runtime: At the end of the tuning phase, after having analyzed the behavior of the device firmware, the Security Engine is able to detect all

    $250 (Avg Bid)
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    1 ofertas
    Project for Chunyan Y. Encerramento left

    ...methods, such as confidence intervals, where it will be estimated the performance of the classifiers. Our selection is to use the Conformal Prediction which gives the confidence level of each output prediction. Runtime: At the end of the tuning phase, after having analyzed the behavior of the device firmware, the Security Engine is able to detect all

    $250 (Avg Bid)
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    1 ofertas