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$30 USD / jam
Bendera INDIA
indore, india
$30 USD / jam
Sekarang jam 6:08 PTG di sini
Menyertai April 25, 2020
0 Syor

Archana S.

@archanasoni1923

0.0 (0 ulasan)
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$30 USD / jam
Bendera INDIA
indore, india
$30 USD / jam
N/A
Pekerjaan Disiapkan
N/A
Mengikut Bajet
N/A
Tepat Pada Masa
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Kadar Upah Semula

Definitely Recommended | Perfect Work On Time

Hi, there. Thanks for the visit to my profile and great to meet you here. Who am I? I am Archana from India. "Quality over Quantity", is my motto for the Work. We are a team of skilled individuals of Junior- mid-senior levels of experience in the field of Website and App development. Since 2017 we have completed over 70+ projects. We are happy to show you an impressive portfolio containing a line-up of our previous and latest projects. Specialties: # DEVELOPMENT TECHNOLOGIES Backend Technologies: Java, .NET, Python, Node.js, PHP, Code Igniter, Laravel Frontend Technologies: Angular, AngularJS, ReactJS, Vue.JS, Dojo, HTML, CSS, jQuery CMS: WordPress, Magento, Shopify, OpenCart, Drupal #Native Technologies: iOS, Android Hybrid Technologies: Flutter, React Native, Ionic My goal is to make my employer happy without adding additional charges. Looking for the Right Place for your IT solutions? Please contact us via chat. Talk Soon!

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Portfolio

11557067
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11557067
11557048
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Ulasan

Perubahan disimpan
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Pengalaman

Freelancer

Freelancer
Jul 2018 - Hari ini
I am working as an Individual freelancer From July 2018 to Present.

Pendidikan

Master of Engineering

Rajiv Gandhi Prodyogiki Vishwavidyalaya, India 2018 - 2020
(2 tahun)

BE

Rajiv Gandhi Prodyogiki Vishwavidyalaya, India 2013 - 2017
(4 tahun)

Kelayakan

Post Graduate

RGPV
2020
I have done Master's of Engineering from Computer Science.

Penerbitan

Linear Regression Model to Predict Number of Deaths for COVID-19 using OLS

ARCHANA SONI
In the proposed work we analyze COVID -19 infected patients and number of death for different age group for three week. We have taken 3252 COVID-19 infected patient and prediction death for different age group using linear regression model. We have taken three week data and predict number of death for different age group and find the error using SSE and OLS. By the experimental analysis we found that OLS method give more correct prediction a compared to SSE method.

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