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    2,887 google prediction jobs fundet, i prisklassen EUR
    Data mining health data 5 dage left
    VERIFICERET

    Data mining stroke data for stroke prediction

    €363 (Avg Bid)
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    47 bud

    ...description of what the Notebook is about: LSTM-stocks-prediction: Contains a LSTM model written from scratch in Tensorflow - this illustrates how LSTM cells work - it is my opinion that someone more versed than me will easily be able to convert this model to a DGM. LSTM-Neural-Network-for-Time-Series-Prediction: Contains a more sophisticated LSTM model PDE_DGM:

    €120 (Avg Bid)
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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

    €18 - €153
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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 [log ind for at se 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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    ...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

    €16 (Avg Bid)
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    1 bud
    finding papers 2 dage 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 bud

    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

    €30 / hr (Avg Bid)
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    31 bud

    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 Udløbet 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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    9 bud
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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

    €8 / hr (Avg Bid)
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    12 bud

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

    €132 (Avg Bid)
    NDA
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    20 bud

    ...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

    €220 (Avg Bid)
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    1 bud

    ...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

    €220 (Avg Bid)
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    1 bud

    ...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

    €220 (Avg Bid)
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    1 bud

    ...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

    €220 (Avg Bid)
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    1 bud

    ...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

    €220 (Avg Bid)
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    1 bud

    ...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

    €220 (Avg Bid)
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    1 bud

    ...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

    €220 (Avg Bid)
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    1 bud

    ...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

    €220 (Avg Bid)
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    Project for Jin C. Udløbet 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

    €500 (Avg Bid)
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    1 bud

    ...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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    54 bud

    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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    41 bud

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

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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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    ...select a regression model - Use dummy variables in the regression model - Interpret statistical output to generate managerial recommendations - Use Regression Analysis as a prediction methodology and learn the limitations of the MS Excel’s statistical package. - Evaluate and choose alternative statistical models Case Questions to consider addressing 1

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    Predicting crime using artificial neural networks, using Python. Data used: historical data of crime, weather data and other data

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    Hello Peter , i would like to implement a model on my dataset using deeplea...a 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

    €220 (Avg Bid)
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    1 bud

    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

    €220 (Avg Bid)
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    ...build me a google cloud function to run AutoML Natural Language [log ind for at se URL] using google cloud function. Function should be triggered by http request with text input in body. Response back in json format for predicted result. http .................. body 'text input' result prediction. (For your

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    Arguement essay on the topic child birth education. The thesis statem...change occurred iv. What did the process of transformation look like. v. It's better/ worse now vi. Counterargument and refutation vii. Conclusion (recommendation and prediction) At least 3 sources from scholarly/peer-review and referred. One quotation from each source

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    Using Machine Learning ...data will be on excel file (day,time,vehicle,sex,weather etc. about 30-50 conditions). The program must compare several models and as a result to export on map and on plots prediction risk analysis about car accidents, conclusions. I also need a fully detailed documentation of the project 15000 - 20000 words and bibliography.

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    Step 1: See the different algorithms Step 2: Choose at least three algorithms and understand them comprehensively and accurately Step 3: For each selected algorithm, write a detailed explanation about it and its advantages and strengths Step 4: Apply each algorithm to the data we have Step 5: Compare results with each other. Prior to this, the reasons for selecting the three (their characteristic...

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    You are to design a personal financial management and prediction tool for personal use. This tool will enable you to record your income and expenses, produce reports, and can also be used to predict your financial status at a future date based on your expense patterns. I have attached the design document in order to help understand what needs to be

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