Aashi Agarwal's repositories
30-Days-Of-Python
30 days of Python programming challenge is a step by step guide to learn the Python programming language in 30 days. This challenge may take up to 100 days, follow your own pace.
applied-ml
📚 Papers by organizations sharing their work on applied data science & machine learning.
awesome-datascience
:memo: An awesome Data Science repository to learn and apply for real world problems.
awesome-mlops
A curated list of references for MLOps
build-your-own-x
🤓 Build your own (insert technology here)
Data-Engineering-HowTo
A list of useful resources to learn Data Engineering from scratch
Data-science-best-resources
Carefully curated resource links for data science in one place
data-scientist-roadmap
Toturial coming with "data science roadmap" graphe.
DataScienceResources
Open Source Data Science Resources.
Grokking-the-Coding-Interview-Patterns
This course categorizes coding interview problems into a set of 16 patterns. Each pattern will be a complete tool - consisting of data structures, algorithms, and analysis techniques - to solve a specific category of problems. The goal is to develop an understanding of the underlying pattern, so that, we can apply that pattern to solve other problems.
learn-python
📚 Playground and cheatsheet for learning Python. Collection of Python scripts that are split by topics and contain code examples with explanations.
mdx-msc-data-science
Middlesex University Dubai: MSc Data Science. Modelling, Regression and Machine Learning track. Instructor: Dr. Ivan Reznikov
MLfromscratch
Machine Learning algorithm implementations from scratch.
Python
All Algorithms implemented in Python
www.mlcompendium.com
The Machine Learning & Deep Learning Compendium is an open knowledge-sharing project compiled using Gitbook.