# Regression analysis academic jobs

...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 reduction[show]
Structured prediction[show]
Anomaly detection[show]
Neural nets[show]
Reinforcement learning[show]
Theory[show]
Machine-learning

SPSS: I have an excel f...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 index, intercept, Rm, Rm square, F-Value, P-Value) using SPSS.

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**

I need 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

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.

...Select the optimal feature selection. Since then we also find out some strategies (Decision tree/Association Rules, etc.
Part 3: Machine Leaning and DL Models
1. ML model
• **Regression**
• KNN
• Random Forest
• SVM
• ANN
• Deep Learning (LTSM,HTM, Tensorfow, etc)
2. Evaluation
Part 4: Portfolio Construction/Optimization
• Strategies
• Portfolio...

I need Java devel...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 Linux skills
* Working hours that provides some overlap with Chicago (UTC-6) working hours (0830-1730).

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