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    12,103 excel stock price prediction jobs found, pricing in AUD

    ...needle on a speedometer. There will also be a log in for registration and a password to access the information. This site should be developed in sql. I am attaching some excel instructions on how the underlying data can be organized: [login to view URL]). The programmer I hire for the job needs to be able to design the dashboard

    $15 / hr (Avg Bid)
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    5 bids

    We make blinds, we have lots of price lists for different blind types. they increase in price each year from our suppliers at different rates. I am looking to be able to change the prices on an excel spreadsheet simply by adding a percentage or by adding a fixed cost i.e. to add £20 per blind and that it automatically changes the costs, rather than

    $75 (Avg Bid)
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    I want to combine DE optimization technique with Adaboost for prediction performance model of student

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    I need to implement Black Scholes Stock Price Model in Matlab. I will provide the details in chat.

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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

    $47 / hr (Avg Bid)
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    looking for a person who can do Australian stock market analysis .. investment company wants to hold share and you need to do analysis... what information you need to do analysis of company listed in stock exchange...

    $22 (Avg Bid)
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    Looking for someone that is willing to build an application where users can bet their friends on the performance of U.S. trades stocks and receive rewards for their bets.

    $506 (Avg Bid)
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    Build Stock Fantasy App 4 days left
    VERIFIED

    Looking for someone that is willing to build an application where users can bet their friends on the performance of U.S. trades stocks and receive rewards for their bets. Looking for someone to work for free.

    $35 (Avg Bid)
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    ...am looking for a High Ticket Closer who can get my Business - (Trade Scape @ [login to view URL]) sold to the right customer. I am willing to share 20% of the final selling price with the person who helps me to get it sold. I believe it can easily be 18000$ - 20000$ or more. And the best part, this business can be sold to & run by anyone across the

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    looking for a stock market courses registration 1. Online webinars 2. Course modules , Description, Participants , Events calendar , fee, payment and registration reference : [login to view URL]

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    Kalman Based Predictor 4 days left
    VERIFIED

    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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    I need you to design and build it. Answer 1+1=? when you bid

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    We are Event based Company We need to Manage our inhouse stocks, for the events we have to take out the stock and after the event is over we have to take in the stocks

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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

    $346 (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

    $347 (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

    $346 (Avg Bid)
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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 day left
    VERIFIED

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

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    NDA
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    19 bids

    ...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

    $346 (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

    $346 (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

    $346 (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

    $346 (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

    $347 (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

    $346 (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

    $346 (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

    $346 (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

    $346 (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

    $346 (Avg Bid)
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    1 bids

    ...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

    $346 (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

    $346 (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

    $346 (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

    $346 (Avg Bid)
    $346 Avg Bid
    1 bids

    ...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

    $346 (Avg Bid)
    $346 Avg Bid
    1 bids

    ...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

    $346 (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

    $346 (Avg Bid)
    $346 Avg Bid
    1 bids

    ...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

    $346 (Avg Bid)
    $346 Avg Bid
    1 bids

    ...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

    $346 (Avg Bid)
    $346 Avg Bid
    1 bids

    ...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

    $346 (Avg Bid)
    $346 Avg Bid
    1 bids

    ...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

    $346 (Avg Bid)
    $346 Avg Bid
    1 bids

    ...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

    $346 (Avg Bid)
    $346 Avg Bid
    1 bids

    ...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

    $786 (Avg Bid)
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    1 bids