Correlation regression analysis mortgage data jobs

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    10,576 correlation regression analysis mortgage data jobs found, pricing in USD

    I am in need of emails of ONLY Utah Mortgage Lenders not brokers...lenders that work for Banks like US BANK, Bank of America, Credit Unions, Zions, Wells Fargo etc...). Emails must be accurate, recent and from Utah only. If these requirements are not met, payment will not be made. Budget is $50-$100 for at least 100K names. Serious inquirers only.

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    I work in Financial Services with Financial Advice and Mortgage Broking. I assist people mainly in the debt reduction area. I need a tool that can project how to pay down mortgages quicker using a certain strategy and product. Along the time line will have event based corrections to the projection. I have attached a two pager, the first page shows

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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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    I have 100 surveys (18 questions) already filled, and I need to do SPPS and correlation analysis. The idea is to be done in a maximum of two days. Please bid.

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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 4 days left

    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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    ...to implied by the betting market goal and win supremacy. Then model should look back over the season's games for each football league and use (probably?) standard linear regression techniques to come up with a set of rankings that are most consistent with the derived before goals and supremacy values for those games Here's a good explanation of what

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    Topic: Evaluate Objective: to generate key plots and statistics needed to judge a model's effectiveness • Lift Chart • Predicted vs Actual • Number of Bins (10) • Data Source: Validation, Cross-Validation, or Hold-out • Sort bins low to high • Y_label: Average target value • X_label: Bins based on predicted value • ROC Curve • ROC Curve Cha...

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    ...and E are unnecessary and extraneous, and I don't wish to have them in the final Python script, unless they are necessary. Recreation of pandas now-deprecated rolling() regression functionality for multivariate linear regressions. I believe this has been deprecated, but it appears still listed in the pandas documentation. If it is still functional

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    We need a Python script to take in any given dataset (meaning either a regression task or a machine learning task) and select features according to four feature selections algorithms which will be provided. We are expecting the following: df_raw df_one df_two df_three df_four where df_raw is what we provide and df_one...df_four are the dataframes you

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    ...and E are unnecessary and extraneous, and I don't wish to have them in the final Python script, unless they are necessary. Recreation of pandas now-deprecated rolling() regression functionality for multivariate linear regressions. I believe this has been deprecated, but it appears still listed in the pandas documentation. If it is still functional

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    Machine Learning 2 days left

    Looking for Python programmer for Machine learning implementation. Minimum Experience 6 months. Simple implementation of Basic Algorithms. Like SVM, Linera Regression, Random Forest Regression

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    Business Problem - Company collected data from 5000 customers. The objective of this case study is to understand what's driving the total spend of credit card(Primary Card + Secondary card) Prioritize the drivers based on the importance.

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    Company collected data from 5000 customers. The objective of this case study is to understand what's driving the total spend of credit card(Primary Card + Secondary card) Prioritize the drivers based on the importance. There are several KPIs driving the expenditure like age group, income, gender, cardtyoe

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    Hi! I need to develop a mortgage calculator, on a Wordpress website. Here is another example of a mortgage simulator: [login to view URL] Let me know if you have any question. Thank you for your help!

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    need some modification of attached standard tflearn code to 1. target variable is column 1 2. 17 variables to predict column 1 3. divide csv data into train and test (80/20) 4. stop model when acceptable R2 reached 5. prediction of column 1 from other 17 variables

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    I need you to write a research article.

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    im seeking a suit...key product claims, and useful news items good or bad on each brand product ratings and good and bad comments form online customers. Its a lot of search and correlation but also takes analysis to ensure information is useful. please outline how you would do this project. Must have excellent English skills bot spoken and written

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