Statistical analysis of data & predictions generation - FFluCh3

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In this project, I need an R implementation of two alternative approaches (random forest regression technique/neural network, Gradient Boosting AND Bayesian) upon a moderately-sized dataset (number of records ~ 23 000, number of variables 6-10). The dataset consists of a spatially and temporally references records. It is a gridded dataset, with each cell containing chronology of values representing intensity of a process. The dataset is 0-inflated in a sense that it is dominated by the records with process being non-existent.

The analysis aims to parameterize the effects of various variables on the intensity of the process and use this parameterization to make predictions under a number of scenarios. Specifically, I need:

(1) parameterization of the model on the training dataset and in doing so, selecting of meaningful parameters to work on at step 2. Parameterization should address 0-inflation of the dataset, and its spatial structure (and possible spatial autocorrelation).

(2) prediction of the expected values under a range of inputs (grouped in sets, let’s call them scenarios).

(3) graphical output, that includes mapping the results (all initial data and scenarios are georeferenced).

I would need a well commented and modular R code done using a series of R functions. It is also important that the code will generate a range of relevant descriptive statistics, well plotted.

You don’t have to write a plotting routine for the mapping of the results (on a geographical map). This functionality will be provided as a “custom-written” function, which will take the results to be mapped.

This is a time-critical project to be complete within a week since its start date.

Statistikker Statistisk analyse Programmeringssproget R Datavidenskab

Projekt ID: #31891468

Om projektet

9 bud Remote projekt Aktiv 2 år siden

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josephvictory

Hi, I’ve gone through your description briefing for this task. I can assist you in building a random forest regression model, XGBoosting or any other predictive model algorithm required using R programming language. I Flere

$100 USD in 4 dage
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4.1

9 freelancere byder i gennemsnit $119 timen for dette job

liveexperts123

Hi there, I have read your project description and i'm confident i can do this project for you perfectly.I still have a few questions. please leave a message on my chat so we can discuss the budget and deadline of the Flere

$150 USD in 3 dage
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Statxn

Hello I can you in your task about Statistical analysis of data Send me a message that we can dscuss more thks

$100 USD in 5 dage
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fastlabindia

Greetings. I checked your Machine Learning and Datamining project requirements. Your work is one of the tasks that can be done very perfectly by us. I will work within your budget, Within your deadline. We are good in Flere

$100 USD in 7 dage
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albabahmadkhan

Hi! I'm 5 years experienced Data Scientist with theoretical and practical experience in Data Science, Machine Learning & Deep Learning ready to do your work in an efficient way with strong analytical and logical reason Flere

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4.9
hillaryjustin73

Hello, I am a Data Scientist with 2+ years of experience in training and tuning statistical models using structured and unstructured data to derive predictive insight, Past projects includes: regression, NLP classific Flere

$100 USD in 3 dage
(19 bedømmelser)
4.6
Gkiprop

Dear employer, I hold master's in statistics and PGD in data science. And machine learning making me suitable for this job. Am an experienced statistic writer for three years and a machine learing expert . Besides I am Flere

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4.3
datascientist90

I am a Data Scientist with Machine Learning Expertise. Please take a look at my profile and reviews for references.

$125 USD in 7 dage
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saibmouhsin

I have a master's degree in mathematical sciences and statistics and I can do the job easily, and do it in the .way that make you satisfied because this is my spécialité. I am comfortable with mathematical tools: - Sta Flere

$125 USD in 4 dage
(0 bedømmelser)
0.0