shauryashaurya/shauryashaurya.github.io

Static pages for shauryashaurya's web presence

shauryashaurya

Web presence for Shaurya Agarwal

About

• Github
• Linked In
• Instagram - photography, sketches etc.
• Facebook - social

Open Source Initiatives

Data Munging Using X

Data Engineering Workshops with Spark (PySpark), Pandas, Dask, Ray etc - some of the most popular libraries in the field. Supports Google Colab, click on the badge next to each notebook's link.

Notebooks on Statistics and Machine Learning

These serve as practical notes and references on common machine learning algorithms with an introduction to Pandas and Numpy.

CoolRE

Pronounced "cooler" provides 3 approaches to building a regular expressions engine - a toy overview, a backtracking based implementation and a finite-automata based approach.

Kandinsky

Discover key colours in a painting or photograph using K-Means clustering. Also provides the proportions of the colours. Some results (more in the repo):

Barnsley Fern Fractal

Phyllotaxis and L-systems example

Certifications

• Deeplearning.ai + Coursera - scored 100% across the board.
  • Neural Networks and Deep Learning
  • Structuring Machine Learning Projects
  • Convolutional Neural Networks
  • Sequence Models
  • Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization

Trainings Archive / Older Material

• Topics in JavaScript, using Jupyter Notebooks
• Building x.509 certificates for MongoDB - was written originally to be used with MongoDB, may be outdated, see latest Mongo documentation. Still a good step-by-step on how to build a certificate.
• DC/OS Training - no longer current, it's better to reference the DC/OS documentation.