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    5,209 simple correlation regression analysis tugasan ditemui, harga dalam USD

    ...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

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    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.

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    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)

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    ...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 :

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    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.

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    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)

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    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)

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    Tutorial DSP- 3 days left

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

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    Trophy icon Data Analysis 5 days left

    ...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.

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    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.

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

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

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    ...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...

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    ...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

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

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    ...(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

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    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

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    I have some work, in an Excel spreadsheet.

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

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    ...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

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    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.

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    ...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

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    ...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

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    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...

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    ...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

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    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...

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    ...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

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    ...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

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    ...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...

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    Perjanjian Kerahsiaan
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    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

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    ...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...

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

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    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

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    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.

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    ...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

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    build python code for logistic regression

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    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

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    run r code on logistic regression and create analysis

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    ...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

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    Visualisation Logistic regression Bayesian logistic regression

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

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    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.

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

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    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

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    ...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...

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    ... 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)

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    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

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    ...(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

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    ...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

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