Football games prediction website工作

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    7,720 football games prediction website 搜到的工作,价格货币为 HKD

    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 [登录来查看链接](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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    ...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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    finding papers 6 天 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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    computer engineering software fault prediction data mining

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    I need an Android and apple app. I would like it designed and [登录来查看链接] is for football team which will give team news, live table, live news, live scorer, videos, and transfer price

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    IM A SPORTS TRADER ON BETFAIR BETTING ON FOOTBALL, I WANT A PROGRAM OR PLATFORM BUILT FOR ME TO BREAK DOWN THE DAILY RESULTS OF FOOTBALL MATCHES AND THE BETTING ODDS OF ALL THE MATCHES, AND THEN BEING ABLE TO BREAKDOWN THE WIN PERCENTAGES OF WHAT IM LOOKING FOR A DATA SCRAPER TO EXTRACT THE DATA FROM ABOUT 3 WEBSITES AND TO DISPLAY IT FOR ME

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    The website [登录来查看链接] has weather data for all 2017 college football games. I want the following variables scraped: - Team names - Location of Game - Elevation of Game - Time of Game - Temperature at kickoff - Precipitation at kickoff - Wind Speed at kickoff Following items from table grid - Temperature for 1 hour before kickoff

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

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    The graphic design of the game is completely ready.....There is a game that we want our game to look like

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    I need a logo/badge designed for my Coast Football Academy. I would like it to represent the coast and also our nickname the Orcas

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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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    ...dunno, accept all the idea. Still, must be linked to the main forum in WP. That Fantaleague works like the normal Fanta "League" , in this case with the championship of football. Inside must be the possibility of choose which league choose and , after that , you can only choose the players of that specific nation. The votes can be insert manually

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    Kalman Based Predictor 2 天 left
    已验证

    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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    I need a responsive website. I would like it designed and built.

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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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    Prediction of Projectile Trajectory

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    In need of football website with both front and backend solution as soon as possible please kindly bid only if you are competent enough to execute the task with your previous related works

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    Design A 2 User Football App

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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 已经结束 left

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

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    保密协议
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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

    $1953 (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

    $1953 (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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    ...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

    $1953 (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

    $1953 (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

    $1953 (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

    $1953 (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

    $1953 (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

    $1953 (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

    $1953 (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

    $1953 (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

    $1953 (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

    $1953 (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

    $1953 (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

    $1953 (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

    $1953 (Avg Bid)
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