/AICircle

Repository of AI Circle to access session files and other curated resources.

Primary LanguageJupyter Notebook

AICircle-Cycle1

A simplistic and structured approach of understanding the intricacies around Data Science, Machine Learning and Deep Learning.

The AICircle GitHub repository is for anyone who is curious about Data Science, Machine Learning and Deep Learning but has no idea where to start. Contents in the repository tries wavering prerequisites to the maximum extent covering fundamentals of Python programming and links to resources of math required, yet keeping the concepts concise.

Usage

Fork the repository on GitHub to access contents from the AICircle meetups and other curated resources.

Clone or download the repository for offline use. Notebooks in the repository can be accessed offline by running jupyter notebook from terminal. Install jupyter from here.


Roadmap


AICircle Sessions

Session 1 - Intro and Motivation

Introductory session - Getting to know the community, Understanding GitHub, Artificial Intelligence - Intro and Motivation.

We will stick to using Python as our preferred programming language throughout this repository.

Session 2 - Pyhton Fundamentals

Jupyter Notebook for Python Fundamentals.


Data Science is an interdisciplinary field that uses scientific methods, processes, algorithms and systems to extract knowledge and insights from data in various forms.

How does that matter to Machine Learning?

We know from our Introductory session that Machine Learning is dependent on the training experience. That should get you thinking about how data is responsible for training a model. We will learn how in the upcoming sessions. Essentially, Python core libraries for Data Science.


Session 3 - Scientific computing with Python (Getting to know Numpy library)

Jupyter Notebook for Numpy.

Complete this Numpy Exercise to self assess your understanding of the basic concepts of Numpy. (Difficulty level - Easy)

Session 4 - Million dollar resources and tips (kind of!) on 'How to learn FASTER and BETTER?'

Here are some of the gem of resources. Keep these handy!

Keeping stats and math at fingertips is a great practice to follow. Wondering why?

Watch The Math of Intelligence video by Siraj Raval on YouTube.

Some of the great resources to learn stats and essential math

Find amazing blog posts and additional resources in this new section. Create a pull request to contribute to this section.

Session 5 - Intro to Pandas


Blog Posts and Additonal Resources