load-gif

Machine Learning

Explore the fundamentals of Machine Learning in this comprehensive course. Learn about various ML types such as Regression, Classification, Ensemble Methods, and Clustering. Understand essential concepts like Feature Engineering (FE) and Hyperparameter Optimization (HPO), with practical use cases. Perfect for beginners looking to build a strong foundation in machine learning techniques and real-world applications.

Satyajit Pattnaik

Data Analytics, Data Science & AI Instructor

Here’s what you will learn?

  • Understanding ML Concepts
  • Hands-on Model Development
  • Data Preprocessing & Feature Engineering
  • Algorithm Implementation
  • Preparation for Advanced AI/ML

This Course Includes

  • Recorded Lessons:  86
  • Recorded Hours:  20hr 13min
  • Certificate of completion
  • Access on Mobile

Course Description

Machine Learning (ML) is a subset of Artificial Intelligence (AI) that focuses on building algorithms and models that enable computers to learn patterns from data and improve their performance over time without being explicitly programmed. 

It involves various techniques, including supervised learning, unsupervised learning, and reinforcement learning, to solve real-world problems such as image recognition, natural language processing, recommendation systems, and predictive analytics. Machine Learning applications span across industries like healthcare, finance, e-commerce, and autonomous systems, making it a crucial technology in today's data-driven world.

Course Content

86 Lessons | 20hr 13min

About the instructor
img
Satyajit Pattnaik

Data Analytics, Data Science & AI Instructor

13+ years experience working in AI, Data Analytics and Data Sciences across different industry verticals including telecom, cyber security, insurance, e-commerce etc.Conducted various training sessions on Data Science, Analytics, ML & AI, as well as attended various International conferences as keynote speaker & guest on Data Science, ML & AI in various universities across APAC Region.Over 10+ years of training & teaching experience into Data Science & Analytics

Frequently Asked Questions

Basic knowledge of programming (preferably Python), statistics, and linear algebra is recommended. Familiarity with concepts like algorithms and data structures will be beneficial.

Yes, programming skills are essential, especially in Python, as it is one of the most popular languages used in Machine Learning. We will guide you through the relevant coding skills during the course.

Introduction of Machine Learning, Regression, Classification, Ensemble, Clustering and many more.

This course is designed for beginners who have a basic understanding of programming. We will cover the fundamentals of machine learning and progressively move to more advanced concepts.

The duration of the course varies depending on the learning pace.
Machine Learning
(4.3)
20hr 13min
₹999 ₹1299
Add To Cart

Subscribe to Data Science & AI - From Python to GenAI Pack

Get this course along with 12+ courses.