# Correlation regression analysis mortgage data jobs

Project: statistical **analysis** of **data** (**regression** and time series **analysis**)
All apply - but prefer: statisticians, engineers and those with a PHD. Please mention if you have this in your proposal.
Ongoing project.
Hourly rate negotiated based on experience/background.

We have this project and this **data**
What we need is:
1. Use Spark ML library instead of SKilearn we want to change SKilearn to Spark ML
2. Add Graphs to show the result
3. Add pictures to show the **data** if that possible
4. Write comments in each line to understand what you have done
5. Make the code simple and use DataFrame and RDD
The

...Forecasting Methods. Which means that use 3 method that mention on the paper: [url removed, login to view] Historical Covariance. [url removed, login to view] Weighted Moving Average. 3. Dynamic Conditional **Correlation** GARCH . to forecast the covariance-matrix and then evaluate the performance of these covariance-matrix by their ability in out-of-sample tests to minimize the variance of

I am looking for excel expert and want to model in excel with formulas the following. 1) Prediction Method....Time-Dependent Poisson **Regression** 2) **Regression** Algorithm....Maximum Likelihood 3) Time Dependence......Time dumping factor

I am looking for excel expert and want to model in excel with formulas the following. 1) Method....Time-Dependent Markov Chain 2) **Regression** Algorithm....Monte-Carlo 3) Time Dependence......Markov Chain model

...earning Business projects in **Data** Entry.
[url removed, login to view] Features of the **data** entry projects are form filling work.
3. Work on the Software till 12 hour.
[url removed, login to view] Target for work
5. payout only for monthly basis , you can choose
• Post dated cheque
• Letter of credit
• Bank gurantee
[url removed, login to view]:- Company wil...

...observe the **correlation** and see if any of the daily transactions contain any of these ‘known’ wallets and to be able to understand e.g. how many transactions go through a specific exchange, how many go through gambling, donations, vanity and etc. Also if you are very familiar with the subject of network **analysis**, maybe some further **analysis** could be done

I need to take historical **data** of rental prices and forecast which city/district would be best to rent.
I need to also answer the following questions using the excel files provided and this website: [url removed, login to view]
What would be the rental yearly margin, calculated as: ( yearly revenue - yearly costs )/ purchase

I am looking for statistician who can run **regression** **analysis** for **data** set with r language.

Looking for an Experienced Python Developer and **Data** Science Engineer.
Experience with **Regression** **Analysis**, KNN, SVM, etc.

I need to find the solar energy demand **data** for a country along with making a simple **regression** with that **data**.

We have this project and this **data**
What we need is:
1. Use Spark ML library instead of SKilearn we want to change SKilearn to Spark ML
2. Add Graphs to show the result
3. Add pictures to show the **data** if that possible
4. Write comments in each line to understand what you have done
5. Make the code simple and use DataFrame and RDD
The

The background:
I believe that our lifestyle choices have a direct **correlation** to chronic disease. Individuals often need support to exercise healthier choices because their family history, genetics, environment, and social norms create a culture that makes it difficult for individuals to make healthy choices. I want to help others pursue their best

Linear **Regression** and **Correlation**
Interpretation of p-value
Interpretation of **regression** coefficient
Relationship between R2 and **correlation**
Multiple **Regression**
More general multiple **regression** models
Parameter interpretation
Significance tests for single parameters
Logistic **Regression**
Link between coefficients and odds ratio
Link betw...

Predict and reporting individuals ability to cope with daily cognitive tasks using hierarchical **regression**.
Must have worked in area of psychology or have a degree in psychology
Must be familiar with professional psychological research (APA referencing)
Must have used Qualtrics and spss to write a professional paper before
The project is checked

...additional input variable (let's call it "Shift value") so that the calculation of the **correlation** between "Symbol 1" and "Symbol 2" is not necessarily done on the exact same bars (i.e.: when "Shift value" would be set to 0) but could also calculate the **correlation** of "the array of values of Symbol 1" to "the array of val...

Stream **data** into R , create new variables based on **data**, analyze win% loss % , gain % and loss% of those variable based historical **data**. multiple variable **regression**. Determine the risk reward ratio of the stock based on the variables inputted.

Convert file to a WPF application that calculates the monthly payment for a loan based on the principal, number of years, and interest rate.

...companies' website. This cost varies with the number of visitors.
Historical **data** is available, giving you the weekly cost as a function of the number of visitors.
Exercise:
■ Calculate the cost function in Excel; this function seems to have 2 linear
parts. Use linear **regression** twice.
■ Make a graph to show your result.
■ Use the cost function to