Internship Program -Datascience & Machine Learning

Job Description

The 1-months online internship program is offered by leading scientists of Gilbert Research Center. Gilbert Research Center is one of the most reputed and notable research centres in India.

What you'll learn from this Online-Internship

Basics of Mathematics - Linear Algebra, Probability, Differential Equation

Fundamentals of Python Programming Language

Fundamentals of Statistics & Industry-related projects.

Industry-related Machine Learning Projects and Machine Learning Algorithms - Linear & Multiple Regression, PCA

Fundamental of Neural networks & Deep Learning.

Industry relevant projects, fundamental programming assignments, and attending mentorship classes of our Scientists.

Interview Questions & Discussions

You'll get basic and complete Industry-related knowledge for your placements, recruitment drive, career shift, and other job opportunities. Invest short-time to get high-quality knowledge. You'll get core knowledge of machine learning & data science from a leading scientist. This program definitely boosts your professional career and promotion.

Every candidate will get a Verified Certificate & Letter of Recommendation from a Scientist at Gilbert Research Center. Stipends will be provided to all students based on their performance. Our internship provides a bridge to grab a job opportunity in a software or fin-tech company based on data science and machine learning.

Experience : 0 - 1 Years

No. of Openings : 50

Education : Any Bachelor Degree

Role : Python programmer

Industry Type : Engineering / Cement / Metals

Gender : [ Male / Female ]

Job Country : India

About Gilbert Research Center

Gilbert Research Center is a notable and most prestigious research organisation in India. Gilbert Research Center has the leading scientists and researchers working on the most crucial and innovative research using cutting-edge technology. Our scientists came through the most innovative solutions for public problems and industrial needs. Research outcomes are contributed to our in-house publication contribution.
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