# Project report regression analysis jobs

I have a particular data set and I want to analyse it using Ridge **Regression** in SAS statistical software. I would like some interpretation of the important outcomes and some conclusions.

I have a stata dta file and want to process it to find **regression**. More details to be provided.

We are looking for an individual to write Selenium Acceptance Tests using node.js and the WebDriverIO bindings. The tests will be used to create an automated **regression** test library of end to end tests for a javascript (React/Redux) application.
A list of the tests to be written has been attached. Please review before submitting any bids.
-Tests

Our business has a **project** going ... we need a statistics expert to discuss the **project** and variables with us to choose the best model, and then to test the assumptions and run the model, reporting on the results in somewhat plain language. You must be experienced at running multiple **regression** analyses, excellent in communicating in English and have

Our business is analyzing some data we have collected in the biomedical field. We need to analyze it and need someone who can run **regression** **analysis**. When you respond, please describe your background in statistic analyses.

...important role in many applications, e.g, document retrieval, web search, spam filtering. At the heart of these applications is machine learning algorithms such as logistic **regression** or Kmeans. These algorithms typically require the text input to be represented as a fixed-length vector. Perhaps the most common fixed-length vector representation for texts

I created and fitted a Linear **Regression** Model
And I calculated the Training error and Testing error using sklearn with a .50 split
I want you to :
1) vary the split size from .01 to .99 with at least 10 values (the more the merrier!). Plot the resulting Training error and Testing error vs. split size. Create separate plots for Linear and Ridge

build a predictive model based on probability distributions
analyse data set of the data from within Python
build **regression** model and evaluate it

Hi, I am overloaded with work now, and I would need help with some Econometric exercises. Is about **regression** discontinuity: mainly STATA exercises and easy statistical proofs. And I have already developed the STATA part. I need it quiet urgently, as soon as possible. Do you have time for this?

Hi, I am overloaded with work now, and I would need help with my Econometrics assignment. Is about **regression** discontinuity: mainly STATA exercises and easy statistical proofs. In general is an easy and short assignment, and I have already developed the STATA part. I need it quiet urgently, as soon as possible. Do you have time for this?

Hi, I am overloaded with work now, and I would need help with my Econometrics assignment. Is about **regression** discontinuity: mainly STATA exercises and easy statistical proofs. In general is an easy and short assignment. I would need it for tomorrow at 11h, so I need it quiet urgently. Do you have time for this?

Hi, I am overloaded with work now, and I would need help with my Econometrics assignment. Is about **regression** discontinuity: mainly STATA exercises and easy statistical proofs. In general is an easy and short assignment. I would need it for tomorrow at 11h, so I need it quiet urgently. Do you have time for this?

Looking for an experienced data scientist who should help me finishing a **project** which I have done almost 80%. What I have done is trained a logistic **regression** and SVM classifiers for an unstructured (source code) corpus.
1. However, some labellings are incorrect and need to be corrected (I'll tell how).
2. Another part is to create natural language

...using mixed-model methodology.
The exercise has three main parts:
1. Analyze the data according to the mixed models methodology.
2. Re-analyze the data using naive linear **regression** and comparing the results.
3. Use parametric bootstrap to approximate the bias and variance of the estimators under
each method.
Comments:
• Feel free to use plots or

...3) -> (Nsample, 3).
What should you do now? That is this project's question.
It is definitely doable - Coulomb did it using mathematics, so we sure can do it using ML **regression**.
A minor point:
- Imagine the three-dimensional distances is 6 dimensional. Thus a (Nsample, None, 6) -> (Nsample, None, 3) dataset. I want you to study this because

...Lower band
(2) Moving Averages
(d) Simple
(e) Exponential
(f) Variable
(g) Legacy EMA
(3) Linear **Regression** Channel / Standard Deviation Channel
(h) Upper Channel Line (Standard Deviation 1, 2, 3 etc)
(i) Linear **Regression** Line
(j) Lower Channel Line (Standard Deviation 1, 2, 3 etc)
(4) Ichimoku
(k) Tenkan-sen (Conversion Line):

...collect data (panel including EU countries), estimate the model. Once you have the estimated model, then you can **project** the impact of Brexit through changes in trade or finance on the growth rate of the UK.
For example of the **regression** model:
MobileHomesi = β0 + β1PovertyRatei + β2URi + β3CollegeGradsi + other Xs
Data will be a cross section

I would like a skilled freelancer to help me elaborate a **regression** **analysis** (already existing) based on **regression** results.

I would like a skilled freelancer to help me elaborate a **regression** **analysis** (already existing) based on **regression** results.