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    3,791 regression analysis company travaux trouvés au tarif de EUR

    ...Markov cachés Conditional Random fields and structured outputs I The logistic regression model – Model specification – Maximum Entropy Modeling – Parameter estimation – Improvements to the logistic regression model (l2 and l1 regularization, kernel logistic regression) I Conditional Random Fields (for sequential data) – Feature funct...

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    ...Markov cachés Conditional Random fields and structured outputs I The logistic regression model – Model specification – Maximum Entropy Modeling – Parameter estimation – Improvements to the logistic regression model (l2 and l1 regularization, kernel logistic regression) I Conditional Random Fields (for sequential data) – Feature funct...

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    ...Markov cachés Conditional Random fields and structured outputs I The logistic regression model – Model specification – Maximum Entropy Modeling – Parameter estimation – Improvements to the logistic regression model (l2 and l1 regularization, kernel logistic regression) I Conditional Random Fields (for sequential data) – Feature funct...

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    QA Engineer 6 jours left

    ...building an e-commerce application. We need complete application testing, should cover Health,Smoke,Regression and Usability scenarios. Important Coverage in a Sprint: 1. Test Case creation(TestRail) from the specification document. 2. Full Health,Smoke,Regression and Usability testing. 3. Test Automation using Selenium We have deployment scheduled in second

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    ...development team and provide feedback, screenshots, explanations of your findings. The following skills will be helpful for this ongoing project. jmeter Selenium WebDriver Regression Testing Unit Testing Software QA Testingchrome Load Testing Testing Automation Please answer the following questions when submitting a proposal: 1. Do you have any questions

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    Create Images 4 jours left

    1. D...deliver a new feature / fix after each deployment? 3. Combine the power of change /release management with business user pattern analysis to design effective tests. 4. Are your testers racing against time for finishing regression tests to meet deadlines ? 5. compromising quality testing time for last minute requirement changes and code pushes?

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    data analysis and regression 4 jours left
    VERIFIÉ

    regression analysis,visualization,and data analysis

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    Trophy icon create images 1 jour left

    Need...deliver a new feature / fix after each deployment? 3. Combine the power of change /release management with business user pattern analysis to design effective tests. 4. Are your testers racing against time for finishing regression tests to meet deadlines ? 5. compromising quality testing time for last minute requirement changes and code pushes?

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    2 propositions

    ...Scikit packages, Classification, Regression, Clustering & Decision Tree etc). The solution must be provided right away to meet deadlines. At the end, you will be asked to make a sample video to show your performance as well future job opportunities for online trainers. If you want to know more about my registered company, pls visit: [se connecter pour voir l'URL]

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    ...nothing less than a world-class software and the best customer experience. - Perform tests to ensure the application respects business and technical requirements (Validation, Regression, Performance, Smoke, Mobile, Stress, API testing) - Create and execute test cases & test plans according to product specifications - Design and implement a robust test automation

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    ...hours per week * Good communication skills both written and verbal. * Capable of individually handling regression automation for a web-based game server * Experience working in an agile environment * Experience with a types of testing including regression, performance, stress, unit, API, integration, and security testing * Knowledge in Selenium or other

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    Ive done a logistic regression model in R which works ok, but in all literature relating to racing they all seem to favour MLR instead which i dont really understand why. but it definantly does give different coefficients and seems to be better suited for this application What i need you to do is to do a model and provide me with the Rhistory so i

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    I have a process for training data, and would like to Plot the modelling. We use: Random forest, decision tree and logistic regression. Note: the processing is already develop. just need a GUI to execute and to see the modelling proces - results. Thanks.

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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 da...and prepare data for machine learning. Explore data to 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 would like to provide you a dataset and have you model it to your ability and then provide me the Rhistory of what youve done. i expect this to go on for a while so perhaps an hourly rate is best. its a dataset for greyhound racing. contact me for more information. cheers

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    ...capacity and bottlenecks -Compute Mean Absolute Deviation (MAD) and Mean Absolute Percentage Error (MAPE) -Calculate Seasonal Index, Indices, Average Seasonal Index -Use regression line and seasonal indices to derive forecasts -Calculate upper and lower control limits and center lines for the mean and range charts -Calculate process capability -Determine

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    The first graph on the pdf is what i need.

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    SPSS analysis 4 heures left

    hi I need a simple regression analysis to test 5 hypotheses please.

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    cognitive system of identification of parkinson's disease (Using Python - Principal component analysis(PCA) , Feature select and logistic regression) Have to identify parkinson disease and classify the patients into healthy and unhealthy patients using data sets from uciml repository. For more information, refer to the level 1DFD diagram.

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    Implementing linear regression with regularization and Cross-Validation in Python Three tasks: 1. Linear regression with and without Regularization 2. Linear regression with regularization use Ridge 3. linear regression with regularization use Lasso

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    data will be provided. Need to have the exact first visualization on the pdf

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    statistics 1 S'est terminé left

    Excel project. Time series, linear regression etc

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    ...Web, and other unstructured data data cube-oriented multidimensional online analytical mining visual data mining knowledge discovery association classification clustering regression normalization frequent pattern generation pattern discovery perform information filtering on the web business and E-commerce data scientific engineering and health care data

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    excel sheet analysis S'est terminé left

    basic regression analysis on excel

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    need code to get results of implementation for this topic Evaluation of core-loss ignorance in induction machine 1)parameters identification (regression):by matlab optimization algorithm -with core loss -without core loss 2)modeling of IM: Matlab for differential equations solutions 3)comparison for different conditions: max budget 100$

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    I need some help with writing a contract.

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    I have data on selected state gross ...each specific section. The student must use regression analysis in part 1 of the analysis. In part 2, the student will use any of the forecasting techniques to predict home sales for 2017. If the data has trends, the student should use exponential smoothing with trends as the chosen techniques to do the analysis.

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    Econometrics S'est terminé left

    I want someone who can do interpretation of simple regression

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    I need a R Shiny Web App. S'est terminé left

    ...used for each/ anything that is creative...) tab 2/ part 2 : Analytics - i need you to run a small machine learning algorithm based on (GDP/Population/Country) to do a regression/clustering model to predict/visualise on results for (summer 2020) olympics.. my budget is 10$-30$ only. time frame ( 1 week) 1) i need a Ui.R and Server.R file 2) i need

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    GoodBelly Excel Problem S'est terminé left

    Good Belly Case Objectives - Build and 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

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    I need an animator S'est terminé left

    I'm a regression therapist and passionate about the working of consciousness. I would like to have an animation about what it means to become self-aware, or do the inward journey. I would like a 2 to 3 mins animation. What I have noticed in my work is that people do not know how to become self-aware. They don't know how to identify their emotions or

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    I need some help analysing the simple regression and multiple regression model related with House Sydney Market Price

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    ...NYC data contain data for all 5 boroughs. Do an analysis for pricing by borough/neighborhood with Clustering and segmentation analysis. Show the work in R and present the results in Powerpoint presentation. (Show which borough offers pricing as overpriced/underpriced.) 3. Need to do regression analysis using R or anyother tool to find which variables

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    ...scientist expert in the following topics: (should understand academically projects) Supervised and unsupervised learning Classification, Principal components analysis PCA, Clustering Linear regression Classification: LDA, QDA Cross-validation Model selection and regularization Decision trees Support vector machines Boosting, Support vector classifiers

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    Machine Learning Project - R S'est terminé left

    ...do an analysis on a dataset; this will be a classification problem and will need supervised learning techniques applied. The dataset will include around 2 million rows of data and 60 independent variables. Within the most current version of R, walk through your process: 1 - Loading the data into R 2 - Applying linear and/or logistic regression against

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    ...studied in a complete factorial design. In this project you are going to design software to facilitate a 22 factorial design that generates a full ANOVA table and a full regression model and associated data for the three dimensional surface response plot. The data can be outputted to a file in the appropriate format and linked to a spreadsheet. The

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    Application of Fuzzy regression logic for Optimization of Processing parameters in Injection molding machines

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    Project for TranslatorsTown S'est terminé left

    Data analysis using statistical tools such as chi-square ANOVA probability regression correlation and many more.

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    R analysis S'est terminé left

    Analyzing Linear regression using R programming

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    Project for Khomaissa E. S'est terminé left

    ...and would like to offer you my project. I need to create two graphs in Stata or R where the size of the dots represents the size of the studies. I also need to overlay a regression equation on each. Is that something you know how to do? I would be willing to pay you by the hour to walk me through on Skype. I am available after 11AM or 11:30AM EST today

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    Programming in R S'est terminé left

    i need a skilled person to tackle this project using the R programming language using categorical predictors, the link between regression and ANOVA, and post-hoc tests, and multi-way ANOVA. i'll send you the .csv file after you think that you can meet this project's requirement.

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    IOT EcoSystem 1 S'est terminé left

    ...code (refer programming requirements) • design document and flowchart 7. data analysis and discussion • output generation • output analysis • compare output against hypothesis • abnormal case explanation (the most important task if you have it) • static regression (if you have complex curve to fit) • discussion 8. conclusions and ...

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    Linear regression with STATA S'est terminé left

    Financial Analysis to be done in STATA, please refer to the attachment or message me for more details.

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    ...button to execute a mentioned command as explained in the attached ptototype. I have a python program wich does prediction using random forest, decision tree and logistic regression. It's a very basic program used to show how Machine Learning can help in credit scoring process. The program was developed with Python, Anaconda, VS Code. I can provide the

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    Computer Algorithms and Modelling You have been asked by the Machine Learning forecasting group to provide them with an application that performs linear regression analysis on a set of data for selling prices of houses. This training dataset is for a fictitious town called Traintown and consists of the selling price which here is the dependent variable

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    stastics using pasw S'est terminé left

    write one example for each of the folowing : regression chi-square test one way anove ( all three in a medical example and also write a report )

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    Loan Default Prediction S'est terminé left

    Predict the loan_status(0 or 1) for the approved loans data. Based on the data given Project should be done using Hadoop Map reduce and Logistic regression If you cannot do using logistic regression then choose any other supervised machine learning technique. Train and Test data are given. Use train data to train and test data to test Use Python or

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    I am doing master of statistics and need help with my research project. The topic of my research is age regression/ progression by adversial conditional autoencoder. You can google this paper. I need help with GAN method and maths behind it.

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