# Matlab projects regression analysis jobs

...development team and provide feedback, screenshots, explanations of your findings.
The following skills will be helpful for this ongoing project.
jmeter
Selenium WebDriver
**Regression** Testing
Unit Testing
Software QA Testingchrome
Load Testing
Testing Automation
Please answer the following questions when submitting a proposal:
1. Do you have any questions

1. D...deliver a new feature / fix after each deployment?
3. Combine the power of change /release management with business user pattern **analysis** to design effective tests.
4. Are your testers racing against time for finishing **regression** tests to meet deadlines ?
5. compromising quality testing time for last minute requirement changes and code pushes?

**regression** **analysis**,visualization,and data **analysis**

Need...deliver a new feature / fix after each deployment?
3. Combine the power of change /release management with business user pattern **analysis** to design effective tests.
4. Are your testers racing against time for finishing **regression** tests to meet deadlines ?
5. compromising quality testing time for last minute requirement changes and code pushes?

...assistance to my employee on Data Science assignments. This position requires you to know Python, SQL, DB & ML Algorithms(Pandas, Numpy, Scikit packages, Classification, **Regression**, Clustering & Decision Tree etc). The solution must be provided right away to meet deadlines.
At the end, you will be asked to make a sample video to show your performance

...nothing less than a world-class software and the best customer experience.
- Perform tests to ensure the application respects business and technical requirements (Validation, **Regression**, Performance, Smoke, Mobile, Stress, API testing)
- Create and execute test cases & test plans according to product specifications
- Design and implement a robust test automation

...hours per week
* Good communication skills both written and verbal.
* Capable of individually handling **regression** automation for a web-based game server
* Experience working in an agile environment
* Experience with a types of testing including **regression**, performance, stress, unit, API, integration, and security testing
* Knowledge in Selenium or other

Ive done a logistic **regression** model in R which works ok, but in all literature relating to racing they all seem
to favour MLR instead which i dont really understand why. but it definantly does give different coefficients and
seems to be better suited for this application
What i need you to do is to do a model and provide me with the Rhistory so i

I have a process for training data, and would like to Plot the modelling.
We use: Random forest, decision tree and logistic **regression**.
Note: the processing is already develop. just need a GUI to execute and to see the modelling proces - results.
Thanks.

Prediction model is currently based on R coding. It is a **regression** model.
Coding needs to be converted to Python and need to re-assess whether another type of model (**regression** or non-**regression**) would most probably lead to a stronger model fit.

Clean and prepare da...and prepare data for machine learning.
Explore data to look for correlations between the features and the target variable.
Apply machine learning algorithms to the task of **regression**/prediction.
Improve on skills and competencies required to compare the performance of prediction algorithms.
Improve the performance of your model.

i would like to provide you a dataset and have you model it to your ability and then provide me the Rhistory of what youve done. i expect this to go on for a while so perhaps an hourly rate is best. its a dataset for greyhound racing. contact me for more information. cheers

...capacity and bottlenecks
-Compute Mean Absolute Deviation (MAD) and Mean Absolute Percentage Error (MAPE)
-Calculate Seasonal Index, Indices, Average Seasonal Index
-Use **regression** line and seasonal indices to derive forecasts
-Calculate upper and lower control limits and center lines for the mean and range charts
-Calculate process capability
-Determine

The first graph on the pdf is what i need.

hi I need a simple **regression** **analysis** to test 5 hypotheses please.

cognitive system of identification of parkinson's disease
(Using Python - Principal component **analysis**(PCA) , Feature select and logistic **regression**)
Have to identify parkinson disease and classify the patients into healthy and unhealthy patients using data sets from uciml repository.
For more information, refer to the level 1DFD diagram.

Implementing linear **regression** with regularization and Cross-Validation in Python
Three tasks:
1. Linear **regression** with and without Regularization
2. Linear **regression** with regularization use Ridge
3. linear **regression** with regularization use Lasso

data will be provided. Need to have the exact first visualization on the pdf

...Web, and other unstructured data
data cube-oriented multidimensional online analytical mining
visual data mining
knowledge discovery
association
classification
clustering
**regression**
normalization
frequent pattern generation
pattern discovery
perform information filtering on the web
business and E-commerce data
scientific engineering and health care data

...results of implementation for this topic
Evaluation of core-loss ignorance in induction machine
1)parameters identification (**regression**):by **matlab** optimization algorithm
-with core loss
-without core loss
2)modeling of IM:
**Matlab** for differential equations solutions
3)comparison for different conditions:
max budget 100$
code should be orginal

I need some help with writing a contract.

I have data on selected state gross ...each specific section. The student must use **regression** **analysis** in part 1 of the **analysis**. In part 2, the student will use any of the forecasting techniques to predict home sales for 2017. If the data has trends, the student should use exponential smoothing with trends as the chosen techniques to do the **analysis**.

...used for each/ anything that is creative...)
tab 2/ part 2 : Analytics - i need you to run a small machine learning algorithm based on (GDP/Population/Country) to do a **regression**/clustering model to predict/visualise on results for (summer 2020) olympics..
my budget is 10$-30$ only. time frame ( 1 week)
1) i need a Ui.R and Server.R file
2) i need

Good Belly Case Objectives
- Build and select a **regression** model
- Use dummy variables in the **regression** model
- Interpret statistical output to generate managerial recommendations
- Use **Regression** **Analysis** as a prediction methodology and learn the limitations of the MS Excel’s statistical package.
- Evaluate and choose alternative statistical models

I'm a **regression** therapist and passionate about the working of consciousness. I would like to have an animation about what it means to become self-aware, or do the inward journey. I would like a 2 to 3 mins animation. What I have noticed in my work is that people do not know how to become self-aware. They don't know how to identify their emotions or

I need some help analysing the simple **regression** and multiple **regression** model related with House Sydney Market Price

...NYC data contain data for all 5 boroughs. Do an **analysis** for pricing by borough/neighborhood with Clustering and segmentation **analysis**. Show the work in R and present the results in Powerpoint presentation. (Show which borough offers pricing as overpriced/underpriced.)
3. Need to do **regression** **analysis** using R or anyother tool to find which variables

I need an excellent data scientist expert in the following topics: (should understand academically **projects**)
Supervised and unsupervised learning
Classification, Principal components **analysis**
PCA, Clustering
Linear **regression**
Classification: LDA, QDA
Cross-validation
Model selection and regularization
Decision trees
Support vector machines
Boosting

...do an **analysis** on a dataset; this will be a classification problem and will need supervised learning techniques applied.
The dataset will include around 2 million rows of data and 60 independent variables.
Within the most current version of R, walk through your process:
1 - Loading the data into R
2 - Applying linear and/or logistic **regression** against

...studied in a complete factorial design.
In this project you are going to design software to facilitate a 22
factorial design that generates a
full ANOVA table and a full **regression** model and associated data for the three dimensional
surface response plot. The data can be outputted to a file in the appropriate format and linked to
a spreadsheet.
The

Application of Fuzzy **regression** logic for Optimization of Processing parameters in Injection molding machines

Data **analysis** using statistical tools
such as chi-square ANOVA probability
**regression** correlation and many more.

...represents the size of the studies. I also need to overlay a **regression** equation on each. Is that something you know how to do? I would be willing to pay you by the hour to walk me through on Skype. I am available after 11AM or 11:30AM EST today if that works for you. I am sure I will have other **projects** in the future as well if you are willing. I would pay

i need a skilled person to tackle this project using the R programming language using categorical predictors, the link between **regression** and ANOVA, and post-hoc tests, and multi-way ANOVA.
i'll send you the .csv file after you think that you can meet this project's requirement.

...code (refer programming requirements)
• design document and flowchart
7. data **analysis** and discussion
• output generation
• output **analysis**
• compare output against hypothesis
• abnormal case explanation (the most important task if you have it)
• static **regression** (if you have complex curve to fit)
• discussion
8. conclusions and ...

Financial **Analysis** to be done in STATA, please refer to the attachment or message me for more details.

...button to execute a mentioned command as explained in the attached ptototype.
I have a python program wich does prediction using random forest, decision tree and logistic **regression**.
It's a very basic program used to show how Machine Learning can help in credit scoring process.
The program was developed with Python, Anaconda, VS Code.
I can provide the

Computer Algorithms and Modelling
You have been asked by the Machine Learning forecasting group to provide them with an application that performs linear **regression** **analysis** on a set of data for selling prices of houses. This training dataset is for a fictitious town called Traintown and consists of the selling price which here is the dependent variable

write one example for each of the folowing :
**regression**
chi-square test
one way anove
( all three in a medical example and also write a report )

Predict the loan_status(0 or 1) for the approved loans data. Based on the data given
Project should be done using Hadoop Map reduce and Logistic **regression**
If you cannot do using logistic **regression** then choose any other supervised machine learning technique.
Train and Test data are given. Use train data to train and test data to test
Use Python or

I am doing master of statistics and need help with my research project. The topic of my research is age **regression**/ progression by adversial conditional autoencoder. You can google this paper. I need help with GAN method and maths behind it.

...I need working code that works for the following tasks:-
1) At least 3 INSIGHTS for **Regression** (Linear/Non-Linear whatever is applicable). Looking for complex and interesting insights. No simple one liner solutions please. I am using Anaconda Spyder IDE. **Regression** can be done on any column in the spreadsheet that is applicable. Once the task is done

Guys I'm learning python and I want to understand how the statistical models are applicable.
I wil...step in order to understand better how the machine learning works:
1) clean the dataset
2) use the following models: logistic **regression**, cross validation, random forest (supervised learning)
3) Then do a PCA / cluster **analysis** (unsupervised learning)

Implementing and testing Kernel Logistic **Regression**, semi-supervised kernel logistic **regression**

...raw dataset as CSV file.
2-Choose a data science supervised learning approach you want to explore and implement in Python: data classification problem, **regression** problem or text sentiment **analysis**.
3-Write and turn in compiled Python script that implements the model.
4-Your script should have train/test data subsets.
5-Run your code and collect the