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implement an algorithm for regression

The project is based on the analysis of the «2013 American Community Survey» dataset published on Kaggle and released under the public domain license (CC0).

The task is to implement from scratch a learning algorithm for regression with square loss (e.g., ridge regression). The label to be predicted must be selected among the following 5 attributes, removing the remaining 4 from the dataset:

PERNP (Person's earnings)

PINCP (Person's income)

WAGP (Wages or salary income past 12 months)

HINCP (Household income)

FINCP (Family income)

Important: the techniques used in order to infer the predictor should be time and space efficient, and scale up to larger datasets.

A short report is required.

Skills: Algorithm, Statistics, Statistical Analysis, Python

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About the Employer:
( 0 reviews ) monza, Italy

Project ID: #29405084

8 freelancers are bidding on average €39 for this job

(103 Reviews)
7.4
taamouchabdelhak

Hello, I am a Machine Learning expert and I can do this task perfectly. Please feel free to contact me to discuss more details

€30 EUR in 7 days
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3.1
anthobio23

grettings i'm data scientist i can help you with you project i'm expert in ML and algorithms of regression. write me for talk about the project

€30 EUR in 7 days
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MENYANI

Hello, I am a data science engineer andI have 4+ years of experience. Looking forward to work with [login to view URL],

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MMohammed1991

Hello dear, this is mohamed , working as daata analyst with solid experience with python and its approaches in machine learning , I have made a regression projects before you can check from my GITHUB account [login to view URL] More

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mahammadlirafael

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1.4
ravikumarnaduvin

I have built a many linear regression, logistic,and polynomial regression models using python, and sklearn and also using numpy along with that,.......if you feel I can solve your problem, please do hire me....let's fi More

€34 EUR in 3 days
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tabraizfurqan90

Dear, I am Electronics Engineer with expertise in Matlab. I am sure I can help you with this project. Looking forward to hear more from you. Thanks Abu Tabraiz

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