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    3,559 regression data jobs found, pricing in USD
    data science 6 days left

    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...

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    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

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

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    ...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

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    R programming expert needed to do a regression

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    ...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

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

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    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.

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    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 &...

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    ...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

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

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

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    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.

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    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

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    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

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    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

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    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

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    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}

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    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

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    ...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

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

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    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

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    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.

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    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

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

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    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.

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    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

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

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    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.

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    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$

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    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

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    ...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 ·

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    ...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 ·

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    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

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    ...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

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    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

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    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

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    ...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

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

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    Need implementation of Linear regression in R

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    Tutoring spark streaming, graphX and linear regression model

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    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.

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    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

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    ...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

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    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

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    Simple Classification and Regression in Jupyter Notebook.

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    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.

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    ...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

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    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.

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    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

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