# Simple correlation regression analysis jobs

...data set, acquired from on-line that needs to be analyzed, using descriptive, predictive, and solutions based statistics. So you will need to be very comfortable with **regression** **analysis**, linear programming..etc.. and be able to understand the data, and create a great presentation
You should have experience in: tableau, excel, power point, graphics

Looking for help developing a macro to create X number of multiple **regression** outputs/queries. The X will vary based on the specific client project. We have **regression** templates/formulas established in excel, but are looking for help to automate production for large data sets.

An expert data science/machine learning expert is needed to engage about 50-60+ young students over a 3 day period via a 3-5minutes Zoom/Sk...details will be provided and the scheduling will be arranged.
The freelancer must have robust technical experience with Kaggle competition and key concepts in Machine Learning (**Regression** and Recommender system)

...algorithm for stock price prediction.
Technology :
Python using Sklearn module or similar ( Preferred )
Currently, I am using four different trading strategies :
1. Linear **regression** strategy with HL_PCT and PCT_CHNG.
2. MACD Trading Strategy.
3. MACD Trading Strategy with Supertrend confirmation.
4. RSI ( Relative Strength Index )
I will deliver :

I have a MySQL Data Base hosted in AWS and I have stored a list of assets and their daily evolution of a parameter. I want to create a **correlation** matrix table for each asset respect the others. The **correlation** value will be updated daily, and its going to use the last 1 year of data for the calculation.

input : image along with description about image output: features of image,keywords in image description and tell whether description about image is given correctly or not(compare image features and keywords)

input : image along with description about image output: features of image,keywords in image description and tell whether description about image is given correctly or not(compare image features and keywords)

An advanced paper need to UNDERSTAND the MATH in it with DETAILS ..
Example
WM **Regression** Estimate ..
- Maths- Electrical

...assurance firm our objectives are to determine the extent, if there exist,:
1. **correlation** between market intelligence generation and perceived market orientation,
2. **correlation** between dissemination of market intelligence and perceived market orientation,
3. **correlation** between market intelligence responsiveness and perceived market orientation.

Looking for a skilled **analysis** to assist with some statistical **analysis** of a survey - qualitative and quant. Experience in factor **analysis**, **correlation** **analysis** and path **analysis** essential. Researcher must be based in Australia or UK.

Please apply only if you have knowledge on Beta **regression** model **analysis**

We are looking for some who is expereinced in building Statistical model building like Linear **Regression**, Logistic **Regression**, Random Forest, etc

...research hypothesis. A SPSS **Analysis** with the statistical data should be performed. In total there are 5 hypothetical questions.
Chapters: 1. Explain the data collection and **Analysis** type
2. Demographic profiles
3. normality test
4. Reliability Test
5. Data Distribution
6. Pearsons **Correlation** **Analysis**
7. **Regression** **Analysis**
8. Summary of Key Findi...

...patientID’s, treatmentID’s and the ratings (scores) given to these treatments by these patients.
I am looking for item similarity computation including: Cosine-based Similarity, **Correlation**-based Similarity, Adjusted Cosine Similarity, followed by prediction computation using, Weighted Sum, Adjusted Weighted Sum, machine learning techniques followed by validating

...Requirement Understanding and Ambiguities.
ïƒ˜ Test Plan Review and Estimation of project
ïƒ˜ Test Scenario/ Test Cases preparation and review.
ïƒ˜ Test Execution (Functional, **Regression**, Automation testing).
ïƒ˜ Testing on Production Environment.
ïƒ˜ Defect Reporting and Tracking.
ïƒ˜ Daily status meeting and Reporting.
ïƒ˜ Knowledge sharing sessions across the

...(also numeric). I want to compute the driver strength of the features, so a measure of how strong are they influencing the label. To compute the **correlation** is not doing the job because the inter-**correlation** (how the several features influence each other) is too big.
some ways to do this (e.g. in R studio) are called LISREL or LMG. There should be other

11 pages
academic paper with quotes
topic: the **correlation** between material implication and if-clauses.
what is the motivation for analysing if-clauses with the help of material implication?
what are the problems of this approach? Solution for this?
Literature: Neil Smith and Amahl Amith 1988. A relevance-theoretic account of conditinals, 322.351

I am doing a PhD thesis and need to analyze my data data set using Beta- **Regression** using R Software

...which are skipping over to many details for me. :-)
Your first job would be to explain how to use the Taylor expansion to form a
quadratic approximation of the logistic **regression** log-likelihood in order to
derive a iterative re-weighted least squares algorithm.
More precisely I need the intermediate steps from from eq. 14 to
eq. 15. [0].
The reason

I need a data analyst who can use Microsoft Excel to analyze my data and give me answers.
Have attached the file. PLEASE BID ONLY IF YOU CAN DO IT.
You have to be fa...analyst who can use Microsoft Excel to analyze my data and give me answers.
Have attached the file. PLEASE BID ONLY IF YOU CAN DO IT.
You have to be familiar with linear **regression**.

...tools
performance testing tools
toolsqa
tools qa selenium
automation
what is automation testing
Set 4) Manual testing
manual testing
software testing
quality assurance
**regression** testing
qa
test
type test
manual testing interview questions
Set 5) operating system
operating system interview questions
what is operating system
computer operator
types

...the emoticon usage. It will save this to a table. Every day a new table will start Per channel Per Day.
The second part will be to read a table from a data set for Clip **Correlation**, example the data set Has
VOD Link VOD UTC Published Time into Vod of clip
14:04:59 5h27m37s
this will correlate to streams and can be placed in a absolute sens of the same

Need this to be done in 24 hours A company has had a growing problem with increasing customer defections above industry average. The churn issue is most acute in the SME division and thus they want it to be the first priority. Predict the customers which are most likely to churn. Task: Find the churn issue Build the model and suggest actions Data provided: Training model – dat...

...new QA process for a new product we're launching.
We will develop most of the test cases, but need a QA engineer that can write and manage a suite of tests that include **regression** tests, functional tests, and performance tests mostly within Katalon Studio and Jmeter. There is also opportunity to develop tests for our APIs by developing small web pages

Task: Find the churn issue Build the model and suggest actions Data provided: Training model – dataset which includes features of SME customers in Jan 2016, as well as the info about whether or not they have churned by Mar 2016. The prices from 2015 for these customers. How: Use the trained model to “score” customers in the verification data set (provided in the file...

...for houses. Here, machine learning algorithms such as logistic **regression** and support vector **regression**, Lasso **Regression** technique and Decision Tree are employed to build a predictive model. We have considered housing data of 3000 properties. Logistic **Regression**, SVM, Lasso **Regression** and Decision Tree show the R-squared value of 0.98, 0.96,0.81 and

...model for the Prediction of Hospital admission from the emergency department.
Practical Implementation of the models of different machine learning algorithm like Logistic **Regression**,Decision Tree and Gradient Boosted Machine Algorithms and comparing there performance based on Accuracy and AUC-ROC curve.
All these algorithms are implemented in the

...About 5,000 respondents answering 39 questions. DEADLINES: Salary Summary **analysis** Part 1 deadline is September 15th & Part 2 - Full Report deadline is September 22nd
Part 1: Salary Summary – provide descriptive statistics, complete **regression** **analysis** and **correlation** **analysis** (i.e., compensation relationship of pay level by experience to industr...

i need someone to do the prediction of one out of 37 components from a company. The historic data will be provided...components from a company. The historic data will be provided. There are a number of tasks i will require from the freelancers. To some them up.
Data Exploration and Cleaning
**Regression** Modelling
Model Comparison
Decision Tree Modelling

...CSFB paging and overall MME Paging strategy
• Understanding of Cisco paging counters and troubleshooting towards improvement of Paging Success.
• **Correlation** and mapping of counters, disconnect reasons & **analysis** of traces & SSD in MME related with paging failures.
• Expertise in configuration and design of MME, SGW, PGW and DNS, and their related capacitie...

I have a research which is **correlation** of obesity and watching TV. I would like to interpret the results in Spss

Hello
I need **Regression** **analysis** and commentary about gold and T-bill.
I will send you what I have done for equity and bonds and I need to do the same about Gold and Cash (3 months Tbill)
So I have done a **Regression** **analysis** for return of equity values, real prices from nominal (in GDP variable) and the last SPReturn includes dividends reinvested

I'm looking for someone with excellent knowledge in running and analyzing the hierarchy **regression** using moderator (interaction) in STATA. Nature of the data is "panel data" in banking industry.

...presentation rate on the effectiveness of subtitles in learning? Meaning we would like to see how every condition has affected cognitive load and comprehension test. is there a **correlation**/effect between home language and cognitive load and comprehension? Also, I would like to interpret the items in the columns (I-M) in the excel sheet and how they correlate

build python code for logistic **regression**

Hi Furqan A., I noticed your profile and would like to offer you my project. We can discuss any details over
hierarchy **regression**
And moderator **analysis**

...sometimes not (after changes published). I want to have a automated test suite created with test cases so before/after minor changes published I can run the test suite to do a **regression** test.
[login to view URL]
This can be created using Appium or any other test suite suggested by you.
As deliverables:
* Documentation

Visualisation
Logistic **regression**
Bayesian logistic **regression**

Can use Eviews and understand the linear **regression** model then combine them together to analyze data

I need a literature review including the types of statistical tools and methods to be specified.
Description and research methodology using each type of **analysis** methods are required. And the application of these methods using SPSS.

Need to work on data extraction, calculation, **regression** and represententation

it's a social sciences project, using Qualtrics data, so essentially it's crunchin...essentially it's crunching surveys for a Cog Sci project. It requires basic logistic **regression** analyses, and mediator/moderator values to be established. There are 3-4 **simple** projects, each with basic demographics, but primary focus is a binary logistic **regression**

...is able to download PDF automatically from a public directory in which the PDF are stored using a **simple** progressive number (eg. [login to view URL], [login to view URL], [login to view URL] and so on). The script has to be enough smart to skip file name that has not a **correlation** with any pdf and understand when when the last number is reached to stop the script. The complete pat...

...
2. The Naïve Bayes classifier
3. Classification and **Regression** Trees (CART).
4. k-Nearest Neighbors (kNN).
A. For every algorithm use 10-fold crossvalidation to estimate accuracy.
B. Visualize Dataset with Multivariate Plots and look at the interactions between the variables.
C. Write a **simple** text with your comments ( your conclusions, not theory)

Build ml model using Python
Experience of Python environment and libraries such as keras, tensorflow, sckit-learn, nltk, pandas
Knowledge of **regression**, classification, supervised, unsupervised, reinforcement learning
Knowledge of data extraction, visualization and presentation
Experience of Spark, R, Scala is plus

...(scikit, nltk, pandas and numpy). Working knowledge of R & Spark is a plus.
Proven experience of solving complex business problems using Machine Learning techniques like **Regression**, Classification, Supervized or Unsupervized Recommenders, Deep iterative learning, Neural Nets etc.
Deep knowledge of Statistics and Maths and ability to dissect problems

...across Analytics & Machine Learning domain.
Proficiency in machine learning and data mining techniques, Feature engineering, **regression**, classification, clustering, time series **analysis** etc.
Extensive experience in Data **Analysis** - Skilled in uncovering insights and identifying patterns.
Proven experience in predictive modelling using R/Python.
Strong