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    1,532 predictions travaux trouvés au tarif de EUR

    Our Wordpress site at [se connecter pour voir l'URL] gathers individual Daily Predictions for our subscribers via an API connection to a predictions provider. Then it emails those predictions to our subscribers in a manner unknown by me, but certainly not through Amazon Simple Email Service. We have gained verification from Amazon that our site is authorized to

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    Front-end for time series data 5 jours left
    VERIFIÉ

    Our company is building algorithms for time-series predictions. We are working towards an MVP and we need a front end. Our backend works in Python and exports relevant results to S3 in Parquet format. We currently have a mock-up front end as the one that can be seen in the screenshot. Now we're looking to build the real thing. You will be given an

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    I need an iPh...I already have a design for it, I just need it to be built. The app let user predict the results of the upcoming matches and rewards points based on the accuracy of the predictions. There is no payments or any kind of gambling on the app... The app is meant for the soccer/football fans to test and compare their knowledge of the game.

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    AI project for health: ...project for health: Uses deep learning and machine learning of clinical literature, combined with user data (genetic, biomarker and user-input) to generate personalised predictions, simulations and natural speech responses to user questions. Domain expert needed for problem solving, road mapping, tools and resources, etc.

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    Build a new website S'est terminé left

    ...Link my website with other websites that provide live soccer match results and highlights. - A big section of this website will be set to provide our visitors with match predictions and the available bets from our main bookie. = Will be controlled from the control panel. - [se connecter pour voir l'URL] as a reference. - Another section will be specified for

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    I own a software company, the software makes NBA and WNBA predictions used in betting and I am looking for someone or multiple persons to act as a affiliate per customer signed up. You will give your customer a discount code which will be directly linked to you so I can track your client sign ups accurately. Payments will be agreed upon between you

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    I've been trying to make a Neural Network for handling requests for quite sometime but I keep facing this bug where the predictions are not even binary. The independent variable is just the time on the clock and the target is when the request happens. I've even tried to make the requests last longer so the system doesn't get addicted to zeros (the

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    Our company is building algorithms for time-series predictions. We are working towards an MVP and we need a front end. Our backend works in Python and exports relevant results to S3/MongoDB/InfluxDB. We currently have a mock-up front end as the one that can be seen in the screenshot. Now we're looking to build the real thing. Done criteria: 1) web

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    Hi, I need the user predictions for every soccer match on [se connecter pour voir l'URL] (1x2 and Draw No Bet markets). Please check the screenshot for more information. I need them in a table format like the following one (without the "clicks" column which should be replaced by a column named "total number of users voted"): [se connecter pour voir l'URL]

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    Hi, I need the user predictions for every soccer match on [se connecter pour voir l'URL] (1x2 and Draw No Bet markets). Please check the screenshot for more information. I need them in a table format like the following one (without the "clicks" column which should be replaced by a column named "total number of users voted"): [se connecter pour voir l'URL]

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    2 hours of consultation via Skype (Video Conference) and TeamViewer (on my PC) to achieve the following. By using R, create a Neural Network model to do predictions based on the Data Set below. We have to do the standard steps, I mean, prepare data, train NN, test NN, predict, etc. For more details, please, read the attached file: [se connecter pour voir l'URL]

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    ...for a plug and play website, with automated news stories related to sports betting or parlays. Also front half of page link to our twitter account where we make our sports predictions. Need to add advertising and clickpost. Or any other way to make money. sample websites are [se connecter pour voir l'URL], [se connecter pour voir l'URL], and [se connecter pour voir l'URL]...

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    ...for a plug and play website, with automated news stories related to sports betting or parlays. Also front half of page link to our twitter account where we make our sports predictions. Need to add advertising and clickpost. Or any other way to make money. sample websites are [se connecter pour voir l'URL], [se connecter pour voir l'URL], and [se connecter pour voir l'URL]...

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    ...habits of the population Government structure of each country Taxation policy of each country Technological stage of each country (how tech savvy are their people?) Future predictions about each country Any other key information you find necessary Ultimately the goal is to see how viable each country is to invest in, in their Automotive industry.

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    Looking for a plug and play website, with automated news stories related to sport center and fox sports news in Cali. Also fron...and play website, with automated news stories related to sport center and fox sports news in Cali. Also front half of page link to our twitter account where we make sports predictions. Need to add advertising and clickpost.

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    ...need 4 articles on 1000 words each on the topic: 1. Online betting on cricket How to bet on cricket, betting types bookmakers. Betting line 2. Cricket Predictions and Betting Tips Types of predictions, betting tips the most popular and why. Who are the tipsters, cricket analysts. How is the prediction for cricket. Statistics, weather, analytics. 3. Review

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    ...developer who has experience with Python, Keras and Google ML Engine. I have a deep learning model developed in Keras. I want to deploy it on Google ML Engine to serve predictions. I have written the code in a way that it can be deployed on Google ML Engine. The model trains alright when I run it locally using the python script but it has some issues

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    ...triggered, at what price is the recommended exit. If Neutral , do nothing 6. Show accuracy for each prediction. ( for each forecast how strong the accuracy). 7. Store all predictions ( OHLC ) and signal for all tickers to reference / analyze on later date. 8. Backtest our strategy with historical data and show Annualized return using our trading algorithm

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    ...developer who has experience with Python, Keras and Google ML Engine. I have a deep learning model developed in Keras. I want to deploy it on Google ML Engine to serve predictions. I have written the code in a way that it can be deployed on Google ML Engine. The model trains alright when I run it locally using the python script but it has some issues

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    ...neural network in R of type avNNet, fitted with Caret. The name of the neural network is mynn. I would like to send input values from Excel VBA to mynn and receive the predictions from mynn in Excel VBA. Currently within R I send my input to mynn this way: # make a single prediction x <- [se connecter pour voir l'URL](5.1, 3.5, 1.4) names(x) <- c("Length", "D...

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    Prepare model for production S'est terminé left

    I've trained model with Tensorflow It needs to be ready for production. It should takes input (through source code or terminal) and returns predictions as result.

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    reference: [se connecter pour voir l'URL],cindicator app User panel: Signup Login Predict Prediction history Leaderboard Current points Winings of the month Total winnings Admin: User verification Post the questions Post the answers Automatic point system Prize pool distribution

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    reference: [se connecter pour voir l'URL],cindicator app User panel: Signup Login Predict Prediction history Leaderboard Current points Winings of the month Total winnings Admin: User verification Post the questions Post the answers Automatic point system Prize pool distribution

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    ...training set and 10-fold cross validation repeated 5 times; 6. Predicting admissions based on the test data set and; 7. The evaluation of model performance based on predictions made on the test data. These steps help to ensure the models are optimal and prevent against overfitting The Enhancement Part is Designing the new algorithm which will

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    R programming question S'est terminé left

    I have fitted a neuralnet based on 3 variables: x1, x2, x3 generating predictions y. I would like to construct a matrix based on x1, x3 and the average prediction y for each combination while x2 is within range 0-25. (next I would like to make a similar matrix for x2 in range 26-50, 51-75 and 76-100. See: [se connecter pour voir l'URL]

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    ...we would like a programmed artificial neural network (ANN) based on our dataset that can make predictions of the qualitative characteristics about our products using quantitative attributes. We would also like to understand confidence in the ANN predictions of the qualitative characteristics about our products using quantitative attributes. We require

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    we are looking for cricket prediction website and with realtime rates.

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    mcx advisory S'est terminé left

    i m good with mcx predictions and help to traders to earn profit from mcx market.

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    With Amazon Machine Learning (Amazon ML), you can build and train predictive models and host your applications in a scalable cloud solution. In this project, you will us...a datasource. You will then create an ML model from this datasource, from which you can then evaluate and adjust the ML model's performance, and then use it to generate predictions.

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    Project for Shan Bin S. -- 3 S'est terminé left

    App for Android. Soccer Live score like ''[se connecter pour voir l'URL]'' and with game predictions. I need this skill: Android, IOS, mobile development, Xamarin, swift

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    Project for Shan Bin S. -- 2 S'est terminé left

    App for soccer live score with game predictions. I give the API for the feed. Start with Android app. Next also Ios.

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    There are 30 satellite pictures of houses and 25 corresponding labels that indicate the roofs. Take those 25 data points and ...corresponding labels that indicate the roofs. Take those 25 data points and train a neural network on them Please evaluate your network on the 5 remaining test images by making predictions of the roofs. I need it done asap.

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    I have thousands of CSV files containing 75 rows / 6 colums of integer data. Ea...loss method etc to be used in this scenario and what other options can be tried if the model fails to make accurate predictions. - how to scale down the amount of training data if necessary due to hardware limitations Accurate predictions is obviously not a requirement!

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    Create a website for sport predictions. Must be easy to understand the website at first look. Information and prices must be added. I have all the logic for the site and what needs shown. Who can help me set this up without breaking the bank. Not spending more than 100 for this. Simple website with some designs

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    Create a website for sport predictions. Must be easy to understand the website at first look. Information and prices must be added. I have all the logic for the site and what needs shown. Who can help me set this up without breaking the bank

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    Live Odds Page and SubDomain S'est terminé left

    We are keen to have a live odds page added to our website to include odds from at least one online bookmaker as per our predictions. The live odds will firstly be based on football (soccer) but the option to include other sports like boxing, rugby, tennis etc would be available at a later date. The live odds will be placed upon a certain page on

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    Requireme...classification techniques and generates the output into a sheet 4. User should be able to download the result sheet 5. When the project is deployed for a while and making predictions , how will we incorporate the feedback so as to retrain and improve the model with time. Requirement is ASAP and needs to be delivered by tomorrow morning.

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    ...program, if I need cuda etc... 3. Please don't ask what this project is specifically about. Having said that it might be important to know for neuron weighting that these predictions will always be approximate because the correct answers will have a large amount of variable outcomes. Example: Like a marathon with multiple runners, we could guess the fastest

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    This is for a sports site where we make predictions for game results

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    ...there should be the prediction integrated ([se connecter pour voir l'URL] could be used). The prediction should then result in a new file. Maybe there has to be a id to link datasets to predictions. There should be training loops and an output of quality of prediction within the evaluation of the model. All files are structed as follows: 48 cols of measures/features

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    Deep learning expert needed S'est terminé left

    I have a set of prediction data that I want to use deep learning (including but not limited to tensorflow) to analyze and improve, for ex, determine which predictions more likely correct. I want it to look for numerous patterns such as if right one day the chances are higher or lower it is right the next day and so on. Bottom line I want to be able

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    FORECASTING - Read carefully S'est terminé left

    ...you accept the project conditions. The amount I have is $ 250 for this project. Larger values ​​will not be considered. 1. I have a model that makes predictions. 2. This model makes predictions of 3 data (BANK, BUSINESS and VALUES) 3. I compiled the results of my model in percentage of error; 3.1 To know the model's accuracy, I removed

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    Needing help to pr...time series analysis and search of patterns with DTW. Once clear if the two time series have similar trends (patterns), I want to make predictions using Granger Causality Test, to see if I can make sound predictions about the other market. This would be made exclusively with R. I have two time series with different length in time.

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    Have a data set, need to do some basic overall data analysis, and some statistical predictions. Can use R or Python only. More details when we connect.

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    I've spend time retraining the Inception network as proof of concept for a project. Now I...project. Now I need someone to set up an entire ecosystem for me that will allow for easy retraining of the network, deployment of newly trained models and an API for running predictions. Using Google ML would be fine - I'm open to other suggestions as well.

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    ...([se connecter pour voir l'URL]) 2. A deep learning model (estimator) written in tensorflow framework. 3. A swagger api application that connects to exported model and serves predictions using REST. The way its supposed to work is to that dataflow pre processes the data from one folder and saves it into another. Deep learning model trains on that data and

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    Bet prediction App S'est terminé left

    I want a football bet prediction app which i can be able to submit daily bet predictions as those previous can also be viewed within the [se connecter pour voir l'URL] if you can do this quickly. It should be in such format below:

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    Build a Website S'est terminé left

    Looking for a responsive website where I’ll publish my predictions for coming soccer games in various leagues. I have the backend data in an Azure database updated every 5 minutes and looking for this site to refresh/update every 5 mins with latest data. My goal is to have a simple and mobile friendly website that users can easily navigate. Looking

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    ...filtering need to be simulated in MATLAB with Weighting for sidelobe control. You need to find Losses due to weighting using simulation and compared against theoretical predictions. Finally, I need you to demonstrate the range-Doppler coupling effect and, possibly, a way to correct range measurements for this effect in matlab. Also you need to submit

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    ...health of the economy and some statistics about individual sectors of the economy that are helping or hurting the overall economy. It may also include statistics about predictions for the future economy. It must demonstrate your understanding of the tools that the Fed and the government can use to direct or impact the economy. Make it concise but

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