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The future of Machine Learning looks promising as the skilled talent pool for Machine Learning engineers is not yet enough to meet the growing demand for trained professionals. A report from the leading online job portal ‘Indeed’ says, since the beginning of the year 2018, employer demand for AI & ML skills has been consistent twice the supply of such skilled professionals.

Moreover, research from MarketsandMarkets depicts, by 2022, the growth in machine learning market size will be USD 8.81 Billion.


Expected benefit from the training / what the participants will learn:

Understand how various Machine Learning Algorithm works

How to translate into real life problems

Understanding of different types of Machine Learning Algorithms

Add values to domain specific industries


Skills to be achieved after the Training:



Supervised and Unsupervised


Target Audience / who should attend:

Recent graduates from C.S./Mathematics/Statistics/Engineering Science

Working professionals and Developers those who want to upgrade their skill set.


Prerequisite to attend the Training: Basics of calculus, Linear Algebra, Statistics and Python programming knowledge, Prerequisites of Data Structures


Training hours: 32 hours


Days per week: 2 days; 4 hours/week


Preferred Days in Week for the Training: Friday and Saturday


Preferred Time of the Training: 10:00 P.M. – 12:00 P.M. E.S.T


Course Start: April 02, 2021


Instructor details:

Sharfuddin Alam, currently working as a Data Scientist at Department of Veteran Affairs (Federal Government).Previously worked as a Data Science Consultant at Duke Energy & he is a Data Scientist at Data kind.


Academic Qualifications:

Bachelors in Electrical and Computer Systems Engineering

MSc. In Computer Science

Data Science Certification

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