Categorical data analysis project jobs

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    302 categorical data analysis project tugasan ditemui, harga dalam USD

    ...Python /or/ R /or/ C /or/ C++) to read some excel data (step-1), identify the missing data (step-2), and then impute the missing values in the data based on the technique given in the proposed reference for this project (step-3), consequently, return the imputed data and compare it with the complete data to measure the accuracy and reliability of your

    $138 (Avg Bid)
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    8 bida

    .../or/ FORTRAN /or/ C /or/ C++) to read some excel data (step-1), identify the missing data (step-2), and then impute the missing values in the data based on the technique given in the proposed reference for this project (step-3), consequently, return the imputed data and compare it with the complete data to measure the accuracy and reliability of your

    $139 (Avg Bid)
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    23 bida

    ...programming language of your choice to read some excel data (step-1), identify the missing data (step-2), and then impute the missing values in the data based on the technique given in the proposed reference for this project (step-3), consequently, return the imputed data and compare it with the complete data to measure the accuracy and reliability of y...

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    22 bida
    Phase II Work Tamat left

    ...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 variable), duplicates(if nominal variable), outliers(if continuous)

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    ...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 (Categorical): Timestamp, uniq_vol On the time variable

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    ...Must understand decision rules for predicting a categorical (classification tree) or continuous (regression tree) outcome. Must be also good at Mathematics and Statistics to understand data analysis. Must be expert in R and R-studio programming. Coding examples will be given to provide details of project requirements. Several Projects (Big and Small)

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    Predictive modeling Tamat left
    DISAHKAN

    ...to predict a binary outcome. There will also be a test data of the same format of 29k obs for you to predict the outcomes. The datasets are well organized in csv formats. The challenge is: 1. some features are numeric and some are categorical; 2. many features have missing values. Need some data imputation for both train and test datasets; 3. some kind

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    7 bida
    Biostatistics Tamat left

    I need some results analysed for a medical research project, its a followup project from a previous study (which i can supply) it involves logistic regression analysis there are approx 150 responses to 50 questions of mixed data (categorical, nominal and continuous).

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    ...better. The final requirement will be discussed after finalizing the service provider. **Features Needed: 1. Compare prices from top e-commerce sites in India 2. Show categorical products 3. Nice UI and easy to use. 4. Favorites section to store products 5. Notification system for new releases and price drops. 6. Social network forum for app users

    $2531 (Avg Bid)
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    18 bida

    ...das vorhandene Experiment so zu bearbeiten, dass die Werte in der Matrix definitiv alle über 70% sind. Folgende Module verwende ich u.a. für das Experiment: - Group categorical values - Preprocess text - Extract N-Gram Features from Text - Multiclass Neural Network Über eine Lösung freue ich mich sehr :)...

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    1 bida

    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

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    14 bida

    ...with a personal project of importing and successfully manipulating data in RStudio. It should be a quick job, I need someone to import the data given then, subset the data frame and convert it to a matrix. Subset the data frame but save it as an R Object file. The data will contain numeric variables and qualitative (categorical) variables. ...

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    .../or/ FORTRAN /or/ C /or/ C++) to read some excel data (step-1), identify the missing data (step-2), and then impute the missing values in the data based on the technique given in the proposed reference for this project (step-3), consequently, return the imputed data and compare it with the complete data to measure the accuracy and reliability of your

    $394 (Avg Bid)
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    20 bida

    missing data imputation, see MDI description Description for the MDI projects These projects aim to impute missing values of the given datasets. You have to write a code in the programming language (, MATLAB) to read some excel data (step-1), identify the missing data (step-2), and then impute the missing values in the data based on the technique

    $135 (Avg Bid)
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    14 bida

    This project aim to impute missing values of the given data sets. You have to write a code in the programming language of MTLAB to read some excel data (step-1), identify the missing data (step-2), and then impute the missing values in the data based on the technique given in the proposed reference for this project (step-3), consequently, return

    $136 (Avg Bid)
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    7 bida

    .../or/ FORTRAN /or/ C /or/ C++) to read some excel data (step-1), identify the missing data (step-2), and then impute the missing values in the data based on the technique given in the proposed reference for this project (step-3), consequently, return the imputed data and compare it with the complete data to measure the accuracy and reliability of your

    $166 (Avg Bid)
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    10 bida

    .../or/ FORTRAN /or/ C /or/ C++) to read some excel data (step-1), identify the missing data (step-2), and then impute the missing values in the data based on the technique given in the proposed reference for this project (step-3), consequently, return the imputed data and compare it with the complete data to measure the accuracy and reliability of your

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    4 bida
    SPSS analysis Tamat left

    i have a questionnaire of about 70 questions with around 30 responses. Require someone who is very proficient with SPSS to provide me with statistical analysis to show the significance of the results i've received and provide some tables and graphs to be used in a scientific paper. Descriptive statistics such as mean, median, standard deviation

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    I have a data analysis task. Build a predictive model using the [login to view URL] file, apply that model to the test data set. Project has to be done in R. -comparing multiple models to select the best one (GLM, RF, GBM, SVM, etc) -feature engineering with the categorical variables -incorporating interactions -adding census data -using cross validat...

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    Trophy icon Write some Software Tamat left

    I am studying online and trying to apply the learning of normal / t-distribution concepts to real-world data. So, I need an expert that can define both the problem and understand the distribution too. Data = 12 Weeks of hourly performance data per volume. Sample = Open to ideas but am thinking we use 1 day sample and plot the means of daily sample

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    Dijamin
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