About Machine Learning Track

This track is one of the best in the industry for a beginner to start mastering machine learning. 

We will cover everything starting from the basics of Machine Learning to interview preparaton. In this track, we will be covering various machine learning algorithms, hackathons, Data Exploration and Insight Generation, and introduction to python to develop skills that are required to kickstart your career in Data Science and Machine Learning.


Pre-requisites for this track:

This track requires no prior knowledge about Data Science or any tool.

Unique Features of Machine Learning Track

  • Comprehensive Content

    Easy to understand content for students and freshers

  • Hands-on Learning

    A hands-on approach to get ready for the industry

  • 5+ Real-World Projects

    Industry readiness by working on real-life projects, hackathons

Key takeaways from this track

  • Understand Statistics & exploratory Data Analysis
  • Understand how Machine Learning and Data Science are disrupting multiple industries today.
  • Linear, Logistic Regression, Decision Tree and Random Forest algorithms for building machine learning models.
  • Understand how to solve Classification and Regression problems in machine learning
  • How to evaluate your machine learning models and improve them through Feature Engineering
  • Improve and enhance your machine learning model’s accuracy through feature engineering
  • Learn to ace Data Science interviews


Benefits of Analytics Vidhya Online Gurukul

The Machine Learning Track by AV Online Gurukul is designed specifically for students & freshers to gain new-age Data Science skills of 21st century.

  • Students can learn at their own pace

  • Track Progress & Performance

  • Accelerates learning with industry professionals

  • Live Q & A Sessions

  • Discussion portal for peer to peer learning

Start Your Journey In Machine Learning

Want to know more about Analytics Vidhya Online Gurukul?

Download Full Brochure

Instructor(s)

  • Kunal Jain

    Founder & CEO

    Kunal Jain

    Kunal is the Founder of Analytics Vidhya. Analytics Vidhya is one of largest Data Science community across the globe. Kunal is a data science evangelist and has a passion for teaching practical machine learning and data science. Before starting Analytics Vidhya, Kunal had worked in Analytics and Data Science for more than 12 years across various geographies and companies like Capital One and Aviva Life Insurance. He has worked with several clients and helped them build their data science capabilities from scratch.
  • Pranav  Dar

    Senior Content Strategist and BA Program Lead, Analytics Vidhya

    Pranav Dar

    Pranav is the Senior Content Strategist and BA Program Lead at Analytics Vidhya. He has written over 300 articles for AV in the last 3 years and brings a wealth of experience and writing know-how to this course. He has a decade of experience in designing courses, creating content and writing articles that people love to read. Pranav is also an instructor on 14+ courses on Analytics Vidhya and is a passionate sports analytics blogger as well.
  • Sunil Ray

    Chief Content Officer

    Sunil Ray

    Sunil Ray is Chief Content Officer of Analytics Vidhya. He brings years of experience of using data to solve business problems for several Insurance companies. Sunil has a knack of taking complex topics and then breaking them into easy and simple to understand concepts - a unique skill which comes in handy in his role at Analytics Vidhya. Sunil also follows latest developments in AI & ML closely and is always up for having a discussion on impact of technology on years to come.

FAQ

  • Who should take this machine learning track on Analytics Vidhya Online Gurukul?

    This track is meant for students, faculty and research students looking to learn machine learning. Colleges/universities can bulk-enroll their students to help them learn machine learning.

  • Do I need to install any software as part of the program?

    You will get information about all installations as part of the course.

  • How long can I access the track?

    You will be able to access the materials for 3 months since the date of your enrollment.

  • I m a student and complete beginner in machine learning, is this track right for me?

    Yes, we have designed this track keeping students in mind. There is no requirement of any prior knowledge about machine learning or any tool.

  • What is the fee for this track?

    The price of the course is mentioned at the top of page. The fee is non-refundable.