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Data Science Training | Training@Infoseek

Data Science Training

Learn how to integrate Sensei with WooCommerce in order to sell your Courses. Beautiful web design begins with a practical knowledge of the tools and features of Adobe Photoshop. This course, intended for beginners and experienced designers alike, will show you how to use Photoshop to design web pages.

by Training@Infoseek

Free

15 Hours

0 Lessons

0 Students

Data Science Training

Data Analyst Training

Data Science covers all the concepts that are necessary to move through this technology, and whether you intend to continue working with open source tools.

Data Science covers all the concepts that are necessary to move through this technology, and whether you intend to continue working with open source tools.

Key Features

Translate business questions into Machine Learning problems

Build Decision Tree, Logistic Regression and Naïve Bayes classifiers.

Discover hidden customer behaviors from Association Rules

Explore and analyze data from Web, Word Documents, Email, Twitter feeds etc

Use K-Means and Hierarchical Clustering algorithms.

Use biologically-inspired Neural Networks to learn from observational data

Project Details

Browse through the gallery below to see photographs submitted by students of this course and also get a sense of how you will make your photographs better using photo editing software.

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5.0 Communication

5.0 Maecenas cursus mauris justo

5.0 Suspendisse sit amet

5.0 Suspendisse sit amet

5.0 Communication

5.0 Maecenas cursus mauris justo

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mep

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MEP Training

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Python

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Python Training

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big data

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Big Data Training

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Training@Infoseek

Skills: The most of our courses (depending on the size) integrate appropriate modules like understanding requirements, importance of documentation, popular software/IT processes, nature of IT teams, constraints of budgets and overall structure of projects.

Attitude: This involves aspects of personality, communication, integrity, teamwork, leadership and a high work ethic.

Instructors: Our instructors are well trained in our methodology and the particular area of IT learning. They usually have industry experience and make the learning practical and oriented towards a real work situation.

Screening: We follow an exhaustive screening process to select our students and advise them on a suitable technology stream according to their abilities and interests. This process involves a written test and interview followed by counseling sessions.

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