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    6,866 web bot source code activex chilkat prediction tugasan ditemui, harga dalam USD

    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

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    Kalman Based Predictor 3 hari left
    DISAHKAN

    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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    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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    ...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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    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 expert 1 hari left
    DISAHKAN

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

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    Perjanjian Kerahsiaan
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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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    ...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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    ...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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    ...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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    ...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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    ...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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    ...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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    ...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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    ...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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    ...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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    ...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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    ...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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    ...Application is about Sport (Cricket) We are Providing News Upcoming Matches etc... My Application is Similar to CricFlame , Cricket Exhange, Cricket Live Line, Cricket Line Guru, Prediction Guru Etc . App is Rejected due to some In App Purchase message, I dont know more about this. Please Help Me. I Will Release the Payment Immediately When App is Published

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    Can AnyBody Fix this issue and Help me publishing my App to Appstore. My Application is like CricFlame, CricketExhange, Prediction Guru and Cricket Maza etc..

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    ... Just a test against the excel data, I want to write the prediction using the machine learning. Someone who can design the model and write a code. I have a data which can not be shared but I can share the excel structure with some sample data. After development, we can compare the prediction on past results to finetune the model Let me know if you

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    i need 30 pages about Sentiment analysis for Cryptocurrency Prices prediction with at least 20 references no more than 20% plagiarism deadline 2weeks after the date of milstone

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    this project will involve creating a prediction management tool. which allows to record incomes and expenses and produce reports

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    ...single download of an ActiveX Control with a VB6 Sample Project of aprox. 1800 lines of code, that we need converted to C#. The Sample is called HTML5 Notepad and it is a single-form application with a Menu, a Toolbar and two panes with the ActiveX control. The entire code is event handling of the Menu, the Toolbar and the ActiveX, and straight forward

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    ...single download of an ActiveX Control with a VB6 Sample Project of aprox. 1800 lines of code, that we need converted to C#. The Sample is called HTML5 Notepad and it is a single-form application with a Menu, a Toolbar and two panes with the ActiveX control. The entire code is event handling of the Menu, the Toolbar and the ActiveX, and straight forward

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    Hello Peter , i would like to implement a model on my dataset using deeple...model on my dataset using deeplearning4j. I have a dataset of 800 rows, each row represent 2minutes of data , i would like to put 5 rows as input to the modeal for each prediction , and produce 20 outputs at each time . Could we discuss about please ? Can we speak about it

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    ...a java restful web service following the client/server architecture. Goal is to rewrite a big JavaScript client-side only application, using ActiveX controls to a modern, cross-browser compatability web service/app. Duration is 1 year, and maybe 2-5 hours per week. You need to have experience in the following technologies: ActiveX JavaScript JAX-RS

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