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.

Speaker Info:

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.

Speaker Links:

For more content on data science, visit Analytics Vidhya

Section: Data Visualization and Analytics
Type: Talks
Target Audience: Intermediate
Last Updated:

I will most certainly attend this talk.

T K Sourabh (~sourabhtk37)

Can we have some links to your slides or a general structure, some thing that can be used to be put on the projector so audience can follow along.

Please upload the slides/structure so they can be reviewed before 12th feb.

Have you given any talks(including this one) before? Any experience of public speaking? It's not a requirement for doing the talk but would definitely help us gauge the experience level. We suggest going through the presentation least once in front of a small audience to get some experience if you have not already.

Akshay Arora (~akshayaurora)

@Kunal I seriously think this should be a workshop. I don't think 20 mins would be good enough for you to be able to cover the subjects you are talking about.

Amit Singh Sethi (~dusual)

@akshay - Yeah I have done various talks in past and have spokes in several data science events. I had done a small lightening talk about Analytics Vidhya in recent PyCon, have conducted several trainings and I teach Data Science in several MBA / engineering programs.

On the structure, I'll upload it in the coming week.

Kunal jain (~kunalj101)

@Amit Singh - the idea is to do a demo and get people excited about the domain. I can do a workshop as well on this, but I thought this talk might evangelize the subject in a larger audience.

Kunal jain (~kunalj101)

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