Using Python to build your first machine learning model in less than 10 minutes!
Kunal jain (~kunalj101) |
According to Sundar Pichai in recent Google's earning call:
Machine learning is a core, transformative way by which we're rethinking everything we're doing. 'We're thoughtfully applying it across all our products, be it search, ads, YouTube, or Play. We're in the early days, but you'll see us in a systematic way think about how we can apply machine learning to all these areas.
It is no wonder that Machine Learning is changing tech products fundamentally.
Contrary to popular belief, it is now very easy to get started with Machine Learning (and especially so in Python). During this session, I will quickly cover the philosophy behind machine learning and then build a simple machine learning model.
A few things people will learn through this talk: 1. What is machine learning? 2. System requirements for building Machine Learning models 2. Required python libraries 3. Basics of data science, data visualization 4. Building simple machine learning models through an example
Participant should know python coding, syntax and OOP concepts.
No knowledge of machine learning will be assumed.
Kunal is Founder of Analytics Vidhya, world's largest and fastest growing data science community. Analytics Vidhya runs data science compeitions, popular discussion portal and one of the most read blog on Analytics.
Prior to Analytics Vidhya, Kunal has worked with the likes of Capital One and Aviva Life Insurance and was leading a team of 20 analysts in his last role at Aviva. By education, he is an aerospace engineer from IIT Bombay.
For more content on data science, visit Analytics Vidhya