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    3,646 project report regression analysis jobs found, pricing in USD
    Tutorial DSP- 6 days left

    An advanced paper need to UNDERSTAND the MATH in it with DETAILS .. Example WM Regression Estimate .. - Maths- Electrical

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    Please apply only if you have knowledge on Beta regression model analysis

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    We are looking for some who is expereinced in building Statistical model building like Linear Regression, Logistic Regression, Random Forest, etc

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    ...research hypothesis. A SPSS Analysis with the statistical data should be performed. In total there are 5 hypothetical questions. Chapters: 1. Explain the data collection and Analysis type 2. Demographic profiles 3. normality test 4. Reliability Test 5. Data Distribution 6. Pearsons Correlation Analysis 7. Regression Analysis 8. Summary of Key Findings

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    Project: II (Item Inspector) Client: Anthem BCBS Team size: 5 Role: Automation Test Engineer II (Item Inspector) is a Web based application, the main aim of this application is whatever the claim processed or the total amount reimbursed to all policy holder in a day that should be in a particular format of CMS,

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    I am doing a PhD thesis and need to analyze my data data set using Beta- Regression using R Software

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    ...which are skipping over to many details for me. :-) Your first job would be to explain how to use the Taylor expansion to form a quadratic approximation of the logistic regression log-likelihood in order to derive a iterative re-weighted least squares algorithm. More precisely I need the intermediate steps from from eq. 14 to eq. 15. [0]. The reason

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    I need a data analyst who can use Microsoft Excel to analyze my data and give me answers. Have attached the file. PLEASE BID ONLY IF YOU CAN DO IT. You have to be fa...analyst who can use Microsoft Excel to analyze my data and give me answers. Have attached the file. PLEASE BID ONLY IF YOU CAN DO IT. You have to be familiar with linear regression.

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    Set 1) Project Management product lifecycle management marketing management product development product marketing new product development marketing new product development process product development process marketing management definition product strategy project management definition product manager job description product Set 2) Agile agile scrum

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    Need this to be done in 24 hours A company has had a growing problem with increasing customer defections above industry average. The churn issue is most acute in the SME division and thus they want it to be the first priority. Predict the customers which are most likely to churn. Task: Find the churn issue Build the model and suggest actions Data provided: Training model – dat...

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    ...new QA process for a new product we're launching. We will develop most of the test cases, but need a QA engineer that can write and manage a suite of tests that include regression tests, functional tests, and performance tests mostly within Katalon Studio and Jmeter. There is also opportunity to develop tests for our APIs by developing small web pages

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    Task: Find the churn issue Build the model and suggest actions Data provided: Training model – dataset which includes features of SME customers in Jan 2016, as well as the info about whether or not they have churned by Mar 2016. The prices from 2015 for these customers. How: Use the trained model to “score” customers in the verification data set (provided in the file...

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    ...for houses. Here, machine learning algorithms such as logistic regression and support vector regression, Lasso Regression technique and Decision Tree are employed to build a predictive model. We have considered housing data of 3000 properties. Logistic Regression, SVM, Lasso Regression and Decision Tree show the R-squared value of 0.98, 0.96,0.81 and

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    ...model for the Prediction of Hospital admission from the emergency department. Practical Implementation of the models of different machine learning algorithm like Logistic Regression,Decision Tree and Gradient Boosted Machine Algorithms and comparing there performance based on Accuracy and AUC-ROC curve. All these algorithms are implemented in the

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    ...DEADLINES: Salary Summary analysis Part 1 deadline is September 15th & Part 2 - Full Report deadline is September 22nd Part 1: Salary Summary – provide descriptive statistics, complete regression analysis and correlation analysis (i.e., compensation relationship of pay level by experience to industry) Part 2: Full Salary Report – Int...

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    NDA
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    i need someone to do the prediction of one out of 37 components from a company. The historic data will be provided...components from a company. The historic data will be provided. There are a number of tasks i will require from the freelancers. To some them up. Data Exploration and Cleaning Regression Modelling Model Comparison Decision Tree Modelling

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    Hello I need Regression analysis and commentary about gold and T-bill. I will send you what I have done for equity and bonds and I need to do the same about Gold and Cash (3 months Tbill) So I have done a Regression analysis for return of equity values, real prices from nominal (in GDP variable) and the last SPReturn includes dividends reinvested

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    I'm looking for someone with excellent knowledge in running and analyzing the hierarchy regression using moderator (interaction) in STATA. Nature of the data is "panel data" in banking industry.

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    build python code for logistic regression

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    Hi Furqan A., I noticed your profile and would like to offer you my project. We can discuss any details over hierarchy regression And moderator analysis

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    run r code on logistic regression and create analysis

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    ...sometimes not (after changes published). I want to have a automated test suite created with test cases so before/after minor changes published I can run the test suite to do a regression test. [login to view URL] This can be created using Appium or any other test suite suggested by you. As deliverables: * Documentation

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    Visualisation Logistic regression Bayesian logistic regression

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    Can use Eviews and understand the linear regression model then combine them together to analyze data

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    I need a literature review including the types of statistical tools and methods to be specified. Description and research methodology using each type of analysis methods are required. And the application of these methods using SPSS.

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    Need to work on data extraction, calculation, regression and represententation

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    it's a social sciences project, using Qualtrics data, so essentially it's crunching surveys for a Cog Sci project. It requires basic logistic regression analyses, and mediator/moderator values to be established. There are 3-4 simple projects, each with basic demographics, but primary focus is a binary logistic regression

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    ..."Statlog (Heart) Data Set" from [login to view URL] 4 different algorithms : 1. Multilayer Perceptron Network 2. The Naïve Bayes classifier 3. Classification and Regression Trees (CART). 4. k-Nearest Neighbors (kNN). A. For every algorithm use 10-fold crossvalidation to estimate accuracy. B. Visualize Dataset with Multivariate Plots and look

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    Build ml model using Python Experience of Python environment and libraries such as keras, tensorflow, sckit-learn, nltk, pandas Knowledge of regression, classification, supervised, unsupervised, reinforcement learning Knowledge of data extraction, visualization and presentation Experience of Spark, R, Scala is plus

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    ...(scikit, nltk, pandas and numpy). Working knowledge of R & Spark is a plus. Proven experience of solving complex business problems using Machine Learning techniques like Regression, Classification, Supervized or Unsupervized Recommenders, Deep iterative learning, Neural Nets etc. Deep knowledge of Statistics and Maths and ability to dissect problems

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    ...across Analytics & Machine Learning domain. Proficiency in machine learning and data mining techniques, Feature engineering, regression, classification, clustering, time series analysis etc. Extensive experience in Data Analysis - Skilled in uncovering insights and identifying patterns. Proven experience in predictive modelling using R/Python. Strong

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    I have a regression eqn, where all variables(dependent and explanatory) enter in first differences except one explanatory variable, where I need to show the contribution of each explanatory variable to dependent variable in levels. There is a solution to interpret the coefficients back in levels like this: [login to view URL]

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    I need someone preferably who knows marketing analytics to help me to use regression to analyze customer survey

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    Based on prior matlab code, extract different data sets and do regression for data extraction

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    need someone familiar with anova and linear regression and be able to do both in JMP. Have some case studies and consulting work I need done.

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    I see that you are familiar with ANOVA, are you also familiar with Linear Regression? I need multiple case studies developed using JMP, are you strong with JMP?

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    Are you familiar with ANOVA/Linear Regression using JMP?

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    testing includes regression,SIT,UAT. I'm working in a healthcare background we will be working on data mostly, tools that we use - sql developer,jira,FACETS. Reach me out at [Removed by Freelancer.com Admin] on watsapp and w can talk more. Thank you.

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    testing includes regression,SIT,UAT. I'm working in a healthcare background we will be working on data mostly, tools that we use - sql developer,jira,FACETS. Reach me out at [Removed by Freelancer.com Admin] on watsapp and w can talk more. Thank you.

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    Need you to create a work sample using SAS (using some data sets) ie, get some data, run a linear regression on data, get the SAS report

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    ...the Research Research Questions Data Analysis Current level of research skill & Area of Support References the research should be both qualitative and quantitative Topics: Islamic Banking - Risk Assessment Models on modelling liquidity risks - Proficiency in banking regulations - Risk Management Risks - Regression knowledge - How bank use models to

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    Need to program, otherwise, too much work. Make plots and clean data and regression.

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    I need help with analysis of statistics datasets, using regression models, confounding, effect modification, time series analysis and further developed detailed analysis. Familiar with possible bias and errors explanation regarding study design. Max. size 5 pages per assessment. Work in Stata or R.

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    ...statistics and analysis that is also able to write a few paragraphs for each statistical test interpreting the results. There may also be some data entry. You must have experience with SPSS and the following statistical tests: raw frequencies and adjusted odds ratios (OR) with 99% confidence intervals (CI), logistic regression analysis WHILE accounting/adjusting

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    ...test plans Execute test cases (manual or automated) and analyze results Evaluate product code according to specifications Create logs to document testing phases and defects Report bugs and errors to development teams Help troubleshoot issues Conduct post-release/ post-implementation testing Work with cross-functional teams to ensure quality throughout

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    ...you. I have a panel dataset and I want to use time fixed effects regression to estimate a model and forecast values with the fitted model. My panel data is unbalanced and has 40.109 rows and 25 columns, although a lot of observations are NaN (no observations). I have 3 different regression models with an A and B version which I fit on the data to assess

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    Multiple regression analysis to test the hypotheses (Cohen et al. 2003). To avoid problems with multicollinearity, we mean-centered the exogenous variables, as Cohen and colleagues (2003) recommend. The variance inflation actors indicate that multicollinearity is not a threat to the conclusions of the study. To test for the relative magnitude of the

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    Hey Guys, I have an urgent project ! As more flexible and fas you are, the better your chances. WHAT YOU SHOULD DO A simple data analysis needs to be done with econometric software (Matlab, Stata or R) (Please see the attachments: DataSet and detailed project and work description is attached) Model: One dependent variable (3), two independent variables

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    ...and Derivative commodities in Agriculture space. The model should cover entire flow of Instrument valuation, various Hedge Effectiveness testing - Dollar Offset, Linear Regression and generation of A/C Entries based upon Cash Flow and Fair Value Hedge. The A/C Entries should include bucketing of OCI & PnL accounts. More information can be discussed

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    Trophy icon Unicorns and Rainbows Ended

    Hi All, I need 2 images for some slides. The topic is about UI regression and how something great can become something with the same elements, but now be not so great. I would like both images to be of a super sonic rainbow powered unicorn (or alicorn/pegacorn). The unicorn in both images needs to be obviously the same animal. Impressions

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