Everything you should know about Genetic Algorithm

ramantehlan commented 5 years ago

Abstract (2-3 lines)

This talk is to introduce the audiance to Genetic Algorithms, and cover all the fundamentals. It covers topics like fitness algorithms, mutation, crossover etc. Also real life examples where it can be applied, with limitations and advantages mentioned.

Brief Description and Contents to be covered

Origin of GA Science behind GA Application of GA

Pre-requisites for the talk

Basics of a computer programming and algorithms.

The time required for the talk

30-45 Minutes.

Link to slides

Slides

Will you be doing a hands-on demo as well?

Not Really.

Link to ipython notebook (if any)

No.

About yourself

A 3rd-year computer science student at SRM University; Ex-SWE Intern at Udacity and Knowlarity.
Link

Are you comfortable if the talk is recorded and uploaded to PyData Delhi's YouTube channel?

Yes.

Any query?

No.

MSanKeys963 commented 5 years ago

Please review @shagunsodhani @Dawny33 .

shagunsodhani commented 5 years ago

Hey @ramantehlan. the topic is quite intriguing. Looking forward to your slides.

ramantehlan commented 5 years ago

Hey @shagunsodhani, I have updated the issue.

shagunsodhani commented 5 years ago

Hi @ramantehlan I checked the slides. So far they are good. I am sure you would be adding more slides. So ping me when you are done :)

ramantehlan commented 5 years ago

@shagunsodhani Updated

shagunsodhani commented 5 years ago

Looks good to me. I did not check the game though. Best of luck :)

pydatadelhi / talks