Knowledge of Python Programming. Experience of working in pandas and jupyter notebooks.
Have you ever wondered how to apply machine learning to business problems? This workshop is specially designed to help learn the concepts, tools and techniques involved. You will go through real-life case studies and experience how this is done in the industry.
The focus of this workshop will be on the machine learning pipeline data cleaning, feature engineering, model building and evaluation. You will also learn how to structure a business problem as an ML problem, and then go on to build, select and evaluate the model. The workshop is divided into following major modules:
Pre-requisites Machine Learning for Beginners
Knowledge of Python Programming
Have experience working in pandas and jupyter notebooks
This is an 8-hour workshop and includes the following modules:
Module 0: Introduction
What is Machine Learning
Types of ML: Supervised, Unsupervised, Reinforcement
Raghav Bali is a Senior Data Scientist and a published author. He currently works at one the world’s largest health care organizations. His work involves research & development of enterprise-level solutions based on Machine Learning, Deep Learning and Natural Language Processing for Healthcare & Insurance-related use cases. In his previous role at Intel, he was
Dipanjan (DJ) Sarkar
Data Scientist, Published Author & Consultant
Dipanjan (DJ) Sarkar is a Data Scientist, a published author and a consultant and trainer. He has consulted and worked with several startups as well as Fortune 500 companies like Intel. He primarily works on leveraging data science, advanced analytics, machine learning and deep learning to build large- scale intelligent systems. He holds a master
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