UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
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Published in:

Volume 8 Issue 4
April-2021
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

7.95 impact factor calculated by Google scholar

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Published Paper ID:
JETIR2104167


Registration ID:
307547

Page Number

527-529

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Title

InstinctiveML

Abstract

InstinctiveML enables developers with limited machine learning expertise to train high-quality models specific to their business needs. Build your own custom machine learning model in minutes. InstinctiveML brings the intuition of the concept of building and deploying Machine Learning models through an uncomplicated UI, easy to use methodology and a tranquil workflow. InstinctiveML uses a standard machine learning workflow: • Gather your data: Determine the data you need for training and testing your model based on the outcome you want to achieve • Prepare your data: Make sure your data is properly formatted before and after data import • Train: Set parameters and build your model • Evaluate: Review model metrics • Test: Try your model on test data • Deploy and predict: Make your model available to use

Key Words

Machine Learning, Neural Network, Prediction & Analysis.

Cite This Article

"InstinctiveML", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.8, Issue 4, page no.527-529, April-2021, Available :http://www.jetir.org/papers/JETIR2104167.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"InstinctiveML", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.8, Issue 4, page no. pp527-529, April-2021, Available at : http://www.jetir.org/papers/JETIR2104167.pdf

Publication Details

Published Paper ID: JETIR2104167
Registration ID: 307547
Published In: Volume 8 | Issue 4 | Year April-2021
DOI (Digital Object Identifier):
Page No: 527-529
Country: Mumbai, Maharashtra, India .
Area: Science & Technology
ISSN Number: 2349-5162
Publisher: IJ Publication


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