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Machine Learning Foundation

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40 Hours

Course offered by Paras Jain

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MACHINE LEARNING FOUNDATION:

Machine Learning Foundation is your first step towards careers in Data Analysis, Data Science, Machine Learning, AI, and more! This helps you learn Python and Statistics. It consists of 4 projects and is perfect for beginners in the field of data.

SKILL COVERED:

  1. Introduction to Programming
  2. Descriptive Statistics
  3. Linear Algebra
  4. Inferential Statistics
  5. Evaluation and Verification

JOB OPPORTUNITIES:

  1. Machine Learning Engineer
  2. Data Scientist-Machine Learning
  3. Data Engineer-Machine Learning

PREREQUISITES:

  • No coding experience needed.
  • In order to succeed, we recommend having experience using the web, being able to perform a search on Google, and (most importantly) the determination to keep pushing forward!

Why take this Foundation Program?

  • Machine learning is taking over the world - it is benefiting companies across industries. It is helping organizations create systems that can understand, learn, predict, adapt, and operate on their own. Thus, understanding how machine learning works are one of the most valuable and useful things you can do.
  • Whether you are launching a career, advancing a career, or just excited to learn a new skill, there is no time like the present to get started on a Machine Learning path. This Foundation program offers everything you need to kickstart your Machine learning journey with no prior programming skills required.

What Will You Learn?

Please Checkout the attached PDF for more details, or Enquire about the course.

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About the Trainer

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Paras Jain

Machine Learning Engineer | Software Engineer/Architect | Technical Trainer

5 Years of Experience

- Data is the new Oil and the urge to harness its power using Technology and Cater to Millions of users across the world is keeping me Clocked, Doing my bit for the mankind in whatever way I could.
- Enthusiastically inclined towards communicating and interpreting data to develop creative solutions to complex problems.
- 4+ years of Solid Software Engineering experience with expertise in translating Business requirements into functional and technical specifications, Proficient in a wide range of Programming Languages, Always thinks ahead and after best practices.

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