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R code fitting: Use Lee-carter package to fit pre-existing code

$30-250 NZD

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$30-250 NZD

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Hi everyone, Easy project for you - you only need to fit a pre-existing code to the data set. One modification: Projection into the future is 120 years from the year 2013 (end year 2133)- in the code below it is 110 year projection so not this. Please keep the ages until 110 if possible from the Dataset. The code can be found (Lee-carter R package): [login to view URL] Dataset is provided below.
Project ID: 20076706

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Hello i bid..... please award me the project ..............!!!!!!!!!!!!!!!££££££££!!!!!!!!!!!!!!££!!!
$300 NZD Om 5 dagar
4,7 (33 omdömen)
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Hi! I am experienced in demography calculations, you may find some in my Portfolio https://www.freelancer.com/u/vladishat?w=f So, I can help you with your project. The main problem is data cleaning because your data set contains some non numerical cells. The names of the columns also needs to be detailed.
$130 NZD Om 3 dagar
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6,1
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7 frilansar lägger i genomsnitt anbud på $214 NZD för detta uppdrag
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Hello, I have gone through your job posting and become very much interested to work with you. I am an expert in this field. I have already completed several projects like this. For evidence you can see my profile. Please visit : https://www.freelancer.com/u/schoudhary1553 I have excellent command over English. I am a hard worker, productive and worthy of your attention I hope, I would be the right candidate for this post. Awaiting an affirmative response from you. Kinds Regards, Sandeep
$250 NZD Om 5 dagar
4,8 (17 omdömen)
5,6
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Hello, I can do the job for you. I'm expert in R programming language and I'm also a demographer so I'm pretty familiar with mortality projection... Do you need to implement all the projection methods in the file or only some??
$330 NZD Om 3 dagar
4,9 (29 omdömen)
5,1
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I DO NOT OUTSOURCE I have been a freelancer for the past 8 years, I believe that my experience and skill in this background will prove to be of great help to you. Contact me to discuss more on the details
$150 NZD Om 3 dagar
5,0 (5 omdömen)
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Hello My total experience is 6.8 years in Predictive modeling Statistical Analysis, Optimization and Machine learning techniques. I have implemented data science solutions for the Digital marketing & advertising, Telecom and Insurance Industries. I am equally comfortable in using a Domain Specific Language like R & Python and statistical tools like SAS, SPSS & EViews. Being excellent in communication, articulate and personable with a talent of relating easily to diverse group of individuals Experience as Data Scientist Interacting with stakeholders throughout the organization to understand the challenges and design business solutions for the same End to end project execution starting from data exploration to insight generation and recommendations Device predictive and descriptive analysis techniques and machine learning algorithms in various projects Coordinate with different functional teams to implement models and monitor outcomes. A drive to learn and master new technologies and techniques. Statistical and data mining techniques: GLM/Regression, Random Forest, Boosting, Trees and text mining, text classification models and Neural Network Querying databases and using statistical computer languages: R, Python and SQL Visualizing/presenting Analysis/Insights/results to business Masters in Statistics – Certificate of Actuaries (Passed 5 Papers CT Level) “The Institute of actuaries of India, Mumbai”. SAS Certified Base Programmer for SAS 9 & Regression and Modeling
$250 NZD Om 3 dagar
5,0 (3 omdömen)
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Dear, I am lecturer at Department of Chemistry and teach R programming for undergraduate students of chemistry. I have many experience in: a. data visualization, b. linier regression, c. nonlinier regression, d. logistic regression, e. data cleansing f. machine learning g. Statistical analysis using R. In addition, I can work both in windows and Linux environments. I surely can help you. Please chat me for further discussion. best regards
$88 NZD Om 2 dagar
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Om kunden

Flagga för NEW ZEALAND
Wellington, New Zealand
5,0
7
Verifierad betalningsmetod
Medlem sedan maj 3, 2019

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