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Machine Learning

Learn advanced machine learning techniques & algorithms with real-world industry projects. This Includes data cleaning and supervised models and unsupervised models.

  • 5 Projects

  • 90+ Hours

  • 5+ Assessments

Course Outline

Kickstart your career in Machine Learning

What is Machine Learning?

Machine learning is a method of data analysis and a branch of artificial intelligence based on the idea that systems can learn from data, identify patterns and make decisions with minimal human intervention.

Why Machine Learning?

The future of machine learning is already here as the ML career is exploding everywhere. If you are in search of the most in-demand and exciting career, gearing up yourself with ML skills is a good move now.

Industry Size

As per the industry survey conducted by Gartner, they predict the business value created by AI and ML will reach $3.9 Trillion in 2022 and it will progress at a CAGR of 44.06% between 2017 and 2024.

Who can learn?

Any one with degree in science/ engineering/ business administration/ commerce/ mathematics / statistics/ economics; managers from any field; business/data analysts and IT professionals.

What you learn

Curriculum for current trend

Course Syllabus

Learn the programming fundamentals required for a career in data science. By the end of the program, you will be able to use Python, SQL

Learn how to work with Pandas and NumPy, the two most popular Python open-source libraries for data science.

Learn the end-to-end process of investigating data through a machine learning and you'll apply what you've learned to a real-world data set.

Learn about classification, training and testing, and run a naive Bayes classifier using Scikit Learn

Build an intuition about how support vector machines (SVMs) work and implement one using scikit-learn.

Learn about how the decision tree algorithm works, including the concepts of entropy and information gain.

See how we can model continuous data using linear regression.

Learn about what unsupervised learning is and find out how to use scikit-learn's k-means algorithm.

Learn about feature rescaling and find out which algorithms require feature rescaling before use

Learn about data dimensionality and reducing the number of dimensions with principal component analysis (PCA)

Find out how to use text data in your machine learning algorithm

Course BENEFITS

Enroll to unlock Benefits

Aseerium Advantages

Interview Preparation

On completing the course, the students will be assisted with their resume preparations, guided for interview preparations and will be strengthened by making them attend mock interviews by software experts.

Career Guidance

Aseerium provides proper and meaningful career guidance to their students. Aseerium shows the ways to the students to achieve their goals, either by getting placed or moving higher in their career ladder.

Placement Assistance

Aseerium feels proud of the training, only when their students get placed or they move higher in their career ladder. Aseerium assists the students with complete energy and dedication to achieve their career goals.

CAREER Outlook

Achieve your Machine Learning career

Job Market

According to a report from job site Indeed, machine learning engineer is the best job of 2019 due to growing demand and high salaries with 344% growth between 2015-18.

Career Options

There are various roles that a Machine Learning engineer can perform and they are: Data Scientist, Data Analyst, Business Analyst, and Machine Learning Analyst.

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