Introduction to Machine Learning with Python

Abstract: 

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.

Bio: 

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.

Open Data Science

 

 

 

Open Data Science
One Broadway
Cambridge, MA 02142
info@odsc.com

Privacy Settings
We use cookies to enhance your experience while using our website. If you are using our Services via a browser you can restrict, block or remove cookies through your web browser settings. We also use content and scripts from third parties that may use tracking technologies. You can selectively provide your consent below to allow such third party embeds. For complete information about the cookies we use, data we collect and how we process them, please check our Privacy Policy
Youtube
Consent to display content from - Youtube
Vimeo
Consent to display content from - Vimeo
Google Maps
Consent to display content from - Google