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A playbook for systematically maximizing the performance of deep learning models.
Deep Reinforcement Learning: Zero to Hero!
Questions to ask the company during your interview
An Open-Source Collection of 230+ Flash Cards to Help You Succeed in Your System Design Interview and More π―
The motive behind Creating this repo is to feel the fear of mathematics and do what ever you want to do in Machine Learning , Deep Learning and other fields of AI
Jupyter Notebooks for Springer book "Python for Probability, Statistics, and Machine Learning"
General statistics, mathematical programming, and numerical/scientific computing scripts and notebooks in Python
π The probability and statistics cookbook
A visual introduction to probability and statistics.
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
Code repository for O'Reilly book
STUMPY is a powerful and scalable Python library for modern time series analysis
ClaudeSync is a Python tool that automates the synchronization of local files with Claude.ai Projects
A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning
Investment Research for Everyone, Everywhere.
Analysis on systematic trading strategies (e.g., trend-following, carry and mean-reversion). The result is regularly updated.
A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.
π Path to a free self-taught education in Data Science!
π Papers & tech blogs by companies sharing their work on data science & machine learning in production.
Your new Mentor for Data Science E-Learning.
Example code from Head First Design Patterns translated to python
Python for Head First Design Patterns book (2020)
π Clean Code concepts adapted for Python
Popular Algorithms and Data Structures implemented in popular languages
A comprehensive 10-page probability cheatsheet that covers a semester's worth of introduction to probability.
Cheatsheets on numerous topics ranging from DataScience | ML | DL | AI | Big Data.
[Book-2021] Practical MLOps O'Reilly Book