akshitagupta15june/Face-X

This tutorial playlist covers data structures and algorithms in python. Every tutorial has theory behind data structure or an algorithm, BIG O Complexity analysis and exercises that you can practice on.

Python implementations (on jupyter notebook) of algorithms described in the book "PRML"

Google's Causal Impact Algorithm Implemented on Top of TensorFlow Probability

Implementation of hyperparameter optimization/tuning methods for machine learning & deep learning models (easy&clear)

Bringing all Data Structures and Algorithms under one Roof

Notebooks, resources, and references accompanying the book Machine Learning for Algorithmic Trading

All the ML algorithms, ML models are coded from scratch by pure Python/Numpy with the Math under the hood. It works well on CPU.

difficult algorithm, simple code.

Environment for reinforcement-learning algorithmic trading models