DataHour: Constructing Machine Learning Pipelines using Scikit-learn

About the DataHour:

In this DataHour, explore with Anuj the various ways to construct the machine learning pipeline using scikit-learn. He will walk you through the different use cases where you can enable an end to end machine learning pipeline that involves data cleaning, preprocessing and modeling steps. Moreover, the way to chain all steps of the workflow together for a more streamlined procedure for code construction will be explained in detail.

Prerequisites: Enthusiasm of learning Data Science and basic understanding of machine learning and python programming. 

Who is this DataHour for?

• Students & Freshers who want to build a career in the Data-tech domain.
• Working professionals who want to transition to the Data-tech domain.
• Data science professionals who want to accelerate their career growth

Note: E-certificates will be provided within 24 - 48 hours of the session only to those who have attended the entire webinar. Please make sure to join the zoom webinar with your correct name and email address to ensure that your certificate is properly credited to you.

Speaker:

Anuj Dhoundiyal

Data Scientist at IBM

Anuj is currently working as a Data Scientist in an MNC and holds a total 6.5 years of experience in the field of AI and Machine Learning. His expertise lies in Machine Learning (ML), Natural Language Processing (NLP) and Deep Learning (DL).

Connect with Anuj at Linkedin