Description
The "Introduction to Machine Learning with Python" is designed for those seeking to understand the growing field of Machine Learning (ML), a key driver in today’s data-centric world. This training offers foundational knowledge in ML, emphasizing its importance in various industries for informed decision-making and technological advancements.
Participants will learn about different ML types, including supervised and unsupervised learning, and explore the complete lifecycle of an ML model—from data preprocessing to deployment. The course highlights Python’s role in ML, introducing essential tools and libraries for algorithm implementation.
A practical component involves hands-on implementation of an ML use case, consolidating theoretical knowledge with real-world application. Ideal for beginners, this course provides a comprehensive yet concise introduction to ML, equipping attendees with the skills to apply ML concepts effectively in diverse scenarios.
Instructor's Bio
Sudip Shrestha, PhD
Data Science Lead/ Sr. Manager at
Dr. Sudip Shrestha leads a data science initiative, finding joy in analyzing data to extract valuable insights. He combines technical skill with the creation of comprehensive business cases and employs a data-centric approach to problem-solving. Dr. Shrestha excels at converting business problems into practical solutions, with a focus on advanced analytics, AI, ML, and NLP. He has a deep passion for data science & AI and is committed to sharing his knowledge by contributing to the data science community.
Webinar
-
1
Training "Introduction to Machine Learning with Python"
-
Ai+ Training
FREE PREVIEW -
Training recording
-
Requirements
-
