# Regression data jobs

**data** that uses scientific methods, processes, algorithms and systems to extract knowledge and insights from **data** in various forms, both structured and unstructured, similar to **data** mining.
Machine learning and
**data** mining
Kernel [login to view URL]
Problems[show]
Supervised learning
(classification • **regression**)
[show]
Clustering[show]
Dimensionality reducti...

SPSS: I have an excel file of funds with Index **Data** and Historical NAV. I need to get different ratios about them such as Sharpe Ratio, Treynor ratio, Jensen Measures (Jensen Alpha, P-Value), Fama Measures, Transformed Sharpe Measures, Pooled and individual **Regression** for Treynor-Mazury (TM) (t-value, variance inflation factor, tolerance, condition

Set up QA pipeline regarding smoke,performance,and **regression** test in single Jenkins file which is running on Windows machine for dot net applications

...general web development.
Pay starts at $12.00
What you'll do:
- perform manual user acceptance testing to verify that existing functionality continues to work
- perform manual **regression** testing by verify that new changes work as intended and do not introduce issues
- explore new features in search of unexpected and unintended behavior
- prioritize and scope

R programming expert needed to do a **regression**

...a multiple **regression** test done on Excel. I need to find the effect of a bunch of variables on the S&P500. The Multiple **Regression** analysis will be run on 1 day interval %CHG **data** from investing.com. [login to view URL] - The **data** is to be run from 2010-01-01 until 2018-07-14 (present). The **data** does not line

hello I need spss expert to help me with my project, contact me for more details Thanks

Requires good statistical knowledge including:
-log linear
-log logistics
-**regression**
-Multilevel modelling
The project is split in 4 parts and I would prefer if you are able to do them all.

Part 1: **Data** Collection
• Technical historical (price, volume, OHLC changed percentage)
• Technical Indicators (MA, MACD, Momentum, CCI, RSI, …)
• Fundamental **data** (Key ratios, finance statement)
• Macroeconomics ratios (GDP, CPI, Job, Interest rate, …)
• Sentiment **data** (Google news, Social networks)
Part 2: **Data** Preprocessing
&...

...checks to validate that it has retrieved the proper **data**.
What I'm looking for:
* Good ability to read Chinese
* Excellent core java skills with performance orientation to minimize latency.
* Deep familiarity with HTTP and web server behavior
* Familiarity with a Java unit testing framework. **Regression** testing on example content is essential.
* Solid

I need expert on deep learning, but the expert must have knowledge on CNN, SVM, **regression**.

Simple hypothesis testing, ANOVA and simple **regression**, and multiple **regression**.

For academic purposes, I would like to have a binary logistic **regression** model built with SPSS. three most important points are: at least a 70% r squared value according to Nagelgerke, no auto-correlation between predictors and rightly signed coefficients.

Experienced Machine Learning, **Data** Science and a Python Programmer needed.
Must be experienced with Neural Network, KNN, SMV, Classification, **Regression**,
Python using tensor flow, jupyter, Anaconda package. Artificial Intelligence

Looking for professional person who could help me in my graduate project. My project is about predicting house prices using Multiple **Regression** , Random Forest , Neural Network and Support vector Machine using R or R-studio. I have to find the best model. my project report will be in a LaTex format. It's a one-time project . I need on an urgent basis

Requirement: **Data** Layer developer
Significant hands-on experience in solution design, architectural analysis and development leveraging advanced Java and features like Multi-Threading/Concurrency, Java Serialization, File I/O, NIO.
Proficient in OOPS, Design Patterns and **Data** Structures.
Hands on experience with Java 8 collection package specifically

Conversion of R scripts implementing different types of logistic **regression** models and exploratory **data** analysis to R. The length of the R scripts does not exceed the 2000 rows. Work does not include the review or analysis of **data**

I am creating a java application with 4 independent variables and 1 dependent variable. I just need a bare bone function as follows: double f(x,y) = {return z}

A binary logistic **regression** model of in vitro fertilization **data**. The model should explain at least %70 percent of the outcome variable according to Nagelgerke and should have a correction rate of at least %70. Also the model should have no auto-correlation. Lastly, the coefficients should be the same as bivariate correlation of the predictors with

...plugins that are used to site performance to managing site changes and rollback plans.
This is a complex site, where plugin updates need to be tested on a staging site, then **regression** testing done, then updates planned on the weekend for the live site in a maintenance window.
I need someone that can help hands on, but also help with looking at the big

Implementation of a cryptographic paper to solve linear **regression** using garbled circuit in python3

I have the following statistics problem that I am not sure on how to solve. I am looking for a freelancer who can help me out on it.
A simple **regression** model over the 1970-1993 period where the Y variable is the Disney year-end stock price and the X variable is Disney’s earnings per share reads as follows:
Coefficient T Score
Intercept

extract **data** from many folders and then do **regression** to generate the R^2 and then identify the highest R^2's corresponding x axis values.

I have collected **data** from 217 respondents from a questionnaire with 47 questions. We have already entererd the **data** in a excel spreadsheet. What I need is for an expert to transfer the **data** from that excel sheet to SPSS format. Then if you can do a correlation, **regression**, chi test and anava calculation that will be great. If you can send me your email

...status meetings related to Testing and Project Updates
ïƒ˜ High customer sensitivity with an excellent track record across all projects executed.
ïƒ˜ Experience in Functional, **Regression**, System, Performance, Smoke and End to End testing
ïƒ˜ Presented Demonstration to the Business team and other stake holders from QA perspective to acquire the business sign-off

Hi Marcelo V., As discussed, I am sending you a contract for the forecasting project. The project will need to Forecast **data** using ARIMA/Poisson **Regression** upto 2040 and generate plots for the same and a brief description of the tests/results. Look forward to working with you on this. Thanks.

I have a marketing **data** on customer choices. Need to run some models in R (MNL, **Regression**, market simulation) to manipulate with **data** to find out the choice behaviors based on **data**. Two-three models only, should not take much time. **Data** is provided as well as clear instructions. Should not be a problem for the person with R Studio knowledge. Please

I have a project in which a **Regression** Analysis on BMI using Stata needs to be performed. I will provide more details later.

extract **data** from many folders and then do **regression** to generate the R^2 and then identify the highest R^2's corresponding x axis values.

I need a coder that is good in R studio. Just need to run one-two analysis on choice models - MNL, **regression**. The **data** is provided. Depending on the work the payment is around 50-80$

I want to be **data** scientist , I need to be match below requirements
Hands-on experience with Python (numpy, pandas, scikit learn, scipy), R, or Weka. Experience with Big **Data** technologies including Spark MLlib and Structured Query Language (SQL) is a plus. Experience of working with time series **data** is desired.
•Solid knowledge of machine learning

...important?
- Methodology
· Algorithms- we have to decide which algorithm we will use to predict the results. Example like Random forest, sentimental analysis, linear **regression**??
Once we decide with algorithm explanation, we have to explain why we choose this algorithm instead of other algorithms.
· Dataset
· Tools
·

...important?
- Methodology
· Algorithms- we have to decide which algorithm we will use to predict the results. Example like Random forest, sentimental analysis, linear **regression**??
Once we decide with algorithm explanation, we have to explain why we choose this algorithm instead of other algorithms.
· Dataset
· Tools
·

I require someone to run SPSS on my **data** in excel, one dependent variable, one independent, two moderating. I also need you to extract further conclusions from my **data** not just plain **regression** and correlation. I need 2500 words of discussion on the results, proving or disproving my 7 hypothesis. Also, solid conclusions at the end. Do suggest the appropriate

...Communication Skills - this is a small and busy team
Experience with documentation and workflow management
Comfortable using the terminal on Mac & Linux
Assignments:
Manual **Regression** testing on a variety of devices
Testing hardware for quality assurance and software integration
Reporting issues and creating bug reports
Verifying and reproducing customer

The result of research will be on predictive intent mining.
Requirements
Looking for **data** scientist with past experience in projects that sole deal with user intent mining.
1. Please list your past experience in such project
2. What was your role?
3. Attach a quick process showing how are going to build predictive analytics using user intent descriptive

Hello,
I am looking to hire someone with high knowledge about deep learning and **data** **regression** , such as fuzzy logic . applying and implementiong a fuzzy expert system. Below is the sample short questions and answer . If you can answer those questions. I would like to hire you for 4 hour's real time ( specific date and time will be told after awarding

...look for a high quality code, implemented following TDD-like development process, implementing unit tests and **regression** tests - so its readily accessible to other developers, easy to read, structured. The code must be tested in depth and the **data** quality has to be well reviewed.
The automation itself is not complex, what I look for is for developers

I'm looking for a statistician who can undertake **regression** analysis and **data** visualization on macro **data**.

Tutoring spark streaming, graphX and linear **regression** model

I am looking for a freelancer who knows R programming. I have a .txt file which is a ta...freelancer who knows R programming. I have a .txt file which is a tab-delimited version. I need help with the following:
1. An R script to load the .txt file
2. Perform a cox **regression** with time dependent covariate.
Only those with experience with this apply.

The following aspects will be worked upon in the phase II - Phase I already complete. (Simple Visualization of dataset using python)
**Data** Description and **data** handling - Each column **data** will be clearly articulated as to what is the datatype, missing/na values if any, distribution nature of values(if continuous), proportion of categories(if categorical

...Security: SSL, DDOS protection, XSS protection, encrypted db, 2FA, history transaction
- 1 candle stick chart with live **data**, integrated from tradingview (price will bitvelocity price), hourly, daily, monthly, yearly
Testing **regression** testing , stress testing , functional testing.
- , visual representation of steps involved to be shown. Good intuitive

Scoping out for more projects. Looking for experienced **data** scientist/statistician for help with small psychological dataset of a pilot study (130 subjects, 10 columns) between-groups design. Task is to come up with SEM model/analyses beyond simple **regression**.
Deliverables: 1) Best SEM model fitting **data** 2) Short report i.e. 500words + codes/commands
PM

Simple Classification and **Regression** in Jupyter Notebook.

The Service Quality questionnaire is an economic indicator that measures customer satisfacti...an output of the study.
c) Please employ these inputs and output variables to determine the best prediction model using support vector machine, neural network and logistic **regression** analysis.
d) After finding the best prediction model, prepare your report.

...describing your **data** beyond simply reporting descriptive statistics.
2. Create two APA tables: one for your chi-square test and one for your **regression** analysis.
3. Draw conclusions about RQ1 based on the analysis you conducted. Address the following for each
**regression**: a. Write the final **regression** model and the final fitted **regression** model b. Provide

PROJECT
The Service Quality questionnaire is an economic indicator that measures customer ...an output of the study.
c) Please employ these inputs and output variables to determine the best prediction model using support vector machine, neural network and logistic **regression** analysis.
d) After finding the best prediction model, prepare your report.

Would like to understand the relationship between variables and predict "Avg Latency"
Sample **Data** - [login to view URL]
Dependent Var: avg_latency (Trying to predict)
Independent Vars (Continuous): read_ops, write_ops, other_ops, read_MB, write_MB, read_latency, write_latency, other_latency
Independent Vars