Sheshanth's repositories
120-Data-Science-Interview-Questions
Answers to 120 commonly asked data science interview questions.
applied-ml
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
car-damage-detection-using-CNN
Automated car damage detection using Instance Segmentation(Mask R-CNN)
cracking-the-data-science-interview
A Collection of Cheatsheets, Books, Questions, and Portfolio For DS/ML Interview Prep
Data-Science--Cheat-Sheet
Cheat Sheets
Data-Science-Interview-Resources
A repository listing out the potential sources which will help you in preparing for a Data Science/Machine Learning interview. New resources added frequently.
DATA-SCIENCE-NOTES
PYTHON, MACHINE LEARNING, SQL, TABLEAU
data-science-prep
Problems from https://datascienceprep.com/
DataCamp-Projects-29-and-counting
Check Readme
DS-Career-Resources
Compilation of resources and insights that helped me on my journey to data scientist
educative.io_courses
this is downloadings of all educative.io free student subscription courses as pdf from GitHub student pack
flexible-jekyll
Flexible-Jekyll is a simple and clean theme for Jekyll
INTERVIEW-QUESTION-ANSWERS
An interview is a formal meeting at which someone is asked questions in order to find out if they are suitable for a job or a course of study.
machine-learning-interview
Machine Learning Interviews from FAANG, Snapchat, LinkedIn. I have offers from Snapchat, Coupang, Stitchfix etc. Blog: mlengineer.io.
ML-QUICK-REFERENCE-GUIDES
a piece of information provided in a footnote/bibliography of a written work such as a book, article, essay, report, oration or any other text type, specifying the written work of another person used in the creation of that text.
PCA
This project is to demonstrate all the steps how to select the number of principle components for a data set with Eigendecomposition
Python-for-Algorithms--Data-Structures--and-Interviews
Files for Udemy Course on Algorithms and Data Structures
the-incredible-pytorch
The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.
tuning_playbook
A playbook for systematically maximizing the performance of deep learning models.