# Regression data jobs

...automatically extracts either a sentence or a paragraph from the PDF based upon a keyword.
The program should use either Apache PDFBox or Apache Tikka.
I have created a test **data** set of 10 PDFs. The test dataset can be found at: [url removed, login to view]
The program should read in the PDF and then output ([url removed, login to view]) to the screen the relevant

Looking for a freelance trainer to take classroom training at our institute in Koramangala for Base Analytics module, covering, Statistical, **Regression** and Analytics concepts. Please apply if you are available to take classes during the weekdays, Tuesday-Friday, 8 am - 12 pm.

we need to write a Matlab code to find the missing **data** from a large number of **data** sets using mean imputation, linear **regression**, hot-deck or FCM, and then compare it with the missing **data** and find the NRMS for both numerical and categorical **data**.
its a c3 project

...able to explain how **data** science methodologies can or are currently being used to improve team knowledge and decision making out of raw **data**.
Topics that must be written about and explained how sports teams can or are currently using these techniques are below (and others you can think of not listed below, but related to **data** management techniques):

Im doing a work on Foreign Direct Investment(FDI) which requires that I produce a **regression** model. The type of work that I need is the whole quantitative **data** combined and the **regression** model complete. In regards, I would like to get the Descriptions of the **data** and an overview of the results. I would like to know if I could be assisted in this regards

Simple Automation for **regression** testing.
- I have setup of a couple of tools/applications of which have REST API. (They tools themselves are not be much of a concern .. the APIs list is available)
- APIs are create pages/spaces/ tickets/ deletes/updates etc etc. standard.. etc
These are deployed in a CICD automation pipeline, the last step of

For example, you can include k-Nearest Neighbor (KNN), Decision Tre...example, you can include k-Nearest Neighbor (KNN), Decision Trees,
Artificial Neural Networks (ANN), Support Vector Machines (SVM), Random Forest, Naïve
Bayes and/or Logistic **Regression** type models in your comparative analysis. Here are some of
the specifics for this assignment:

...theoretical values.
2- Assume a linear model and then add 0-mean Gaussian noise to generate a sample. Divide your sample into two as training and validation sets. Use linear **regression** using the training half. Compute error on the validation set. Do the same for polynomials of degrees 2 and 3 as well.
...

I need custom radar scans created from my trading systems. One will use the Ichimoku cloud with my own custom indicators. The other will use a custom version of **regression** bands with more of my custom indicators

Read an article, summarize the main finding and other things (500 words)

Hi,
I have a dataset consisting of some text **data** and I would like to apply the following classification algorithms on this **data** to finally measure the accuracy and performance of each classifier:
Artificial Neural Network
SVM
Random Forest
Decision Tree
Naive Bayes
Logistic **regression**
KNN
I need the following criteria to be measured

...model should provide recommendations regarding what type of crypto should I invest in, why, and when. All recommendation should be based technical analysis, **data** analysis, crypto analysis, and **regression** analysis for my future investments in cryptocurrency.
I am expecting a module that, based on the previously mentioned analysesâ€‹, tells me what crypoto

I need someone that can quickly run **Regression** and Structural Equation Modelling in SPSS.
Need to provide output and summarise the relationships between variables for my further analysis . Sample file attached.

...API or Google Drive
Participant completes survey and thinks "well that was relatively easy" (we hope to retain as many participants as possible so when we run our stats/**regression** we have a high N)
Notable: For our perception/listening skills task we have SoundCloud files playing in HTML iFrames and the participants choose from multiple choice options

...
Test your model on the Boston Housing **data** set. Use a randomly chosen 90% of the instances for training and the remaining 10% for testing. Repeat this operation 10 times and print out the average root mean square error (RMSE). Submit a Python source code that implements both Bayesian linear **regression** and the testing scheme described above. The

**Regression** Modeling
Forecasting and Time Series Analysis
Someone who is a master of these skills

...Python to scrape the web links from the HTML code of the U.S. Census Bureau’s Population Estimates web page, use SQL to spot differences in the population size, and use linear **regression** in R to predict the size of the population of the State of Nevada in 2020. The link for the web page is [url removed, login to view]
You will use

I choose [url removed, login to view] imbalance dataset and I need to Perform Oversampling, Undersampling, and Synthetic **Data** Generation to balance the **data** set ). Perform Logistic **Regression** problem on the base **data** set, and the three other **data** sets you have created and generate ROC curves for each dataset. Comment on the ROC curves. Include results.

Someone who is good in SPSS statistics and can help me to do Analysis for Correlation & **Regression** of 2 different companies **data**..
Please note that you must fullfill to these terms:
=> You must have installed SPSS in your Laptop
=> You must be able to work under pressure
=> You must have good educational and working experienc
=> You must provide

Someone who is good in SPSS statistics and can help me to do Analysis for Correlation & **Regression** of 2 different companies **data**..
Please note that you must fullfill to these terms:
=> You must have installed SPSS in your Laptop
=> You must be able to work under pressure
=> You must have good educational and working experienc
=> You must provide