Fundamentals of Machine Learning

Dive into the world of Machine Learning with this introductory course. Learn the core concepts, algorithms, and techniques essential for building and understanding machine learning models. From supervised and unsupervised learning to basic model evaluation, this course provides a solid foundation for anyone new to the field.

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Tamil

Last updated

Fri, 29-Nov-2024

Course description

This course covers the basics of Machine Learning, including essential algorithms, data preprocessing, and model evaluation techniques. Gain hands-on experience with practical examples and start building your own machine learning models using Python.

What will i learn?

  • Understand basic machine learning concepts and algorithms
  • Perform data preprocessing and feature engineering
  • Build and evaluate simple machine learning models
  • Apply supervised and unsupervised learning techniques
  • Gain practical experience with model implementation and performance metrics

Requirements

  • Basic knowledge of Python programming
  • Understanding of mathematics and statistics is helpful but not required
  • No prior knowledge of Machine Learning needed

Frequently asked question

Machine Learning is a subset of artificial intelligence where systems learn from data to make decisions or predictions without being explicitly programmed.

No prior knowledge is needed. The course covers fundamental concepts and techniques, starting from the basics.

You will learn about key machine learning algorithms, data preprocessing, model training and evaluation, and fundamental concepts such as supervised and unsupervised learning.

Understanding Machine Learning opens doors to various fields including data science, artificial intelligence, and automation, and is valuable for analyzing and predicting data-driven insights.

Yes, you will gain practical skills to apply machine learning techniques to solve real-world problems and develop predictive models.

This course is open to everyone. People from many departments like Computer Science, IT, Electronics, and even non-technical areas have taken it and found it helpful.

Yes, it is! This course is great for freshers and students who want to learn the basics and grow their skills for future jobs.

Yes, this course is a good fit for professionals who want to improve their skills or switch to a new field.

Yes, people with a career gap can take this course. It helps them update their knowledge and return to work confidently.

Yes, internships are optional but are available for top performers. It’s a great extra option for learning and gaining real-world experience.

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₹199

₹1999

Lectures

27

Skill level

Intermediate

Expiry period

Lifetime

Certificate

Yes
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