Jeffrey Wang's repositories
Advanced-Data-Science
Assignments of Machine Learning in Python
adv-financial-ml-marcos-exercises
Exercises of the book: Advances in Financial Machine Learning by Marcos Lopez de Prado
advanced-data-analytics-using-python
Source Code for 'Advanced Data Analytics Using Python' by Sayan Mukhopadhyay
AlpacaExamples
Example code repository
BayesianRL
Some example code for the "Introduction to Bayesian Reinforcement Learning" presentations
deep-learning-coursera
Deep Learning Specialization by Andrew Ng on Coursera.
Deep-Neural-Network-python-
We implement a two layer neural network for a binary classifier and a multi layer neural network for a multiclass classifier from scratch without using any frameworks or libraries.
deeplearning.ai
DeepLearning.ai Course Notes and Essential Files
EchoStateNetworks
Materials related to the Medium article "Predicting Stock Prices with Echo State Networks".
feature-engineering-and-feature-selection
A Guide for Feature Engineering and Feature Selection, with implementations and examples in Python.
FractionalDiff
Experiments with fractional differencing
MIT-6.S094
MIT-6.S094: Deep Learning for Self-Driving Cars Assignments solutions
ml-interview
Preparing for machine learning interviews
Pychastic
A Python library for stochastic data science from a Bayesian perspective
quant_trading_echan_book
Notes for the Book Quantitative Trading by Ernie Chan
StochasticDriftRL
Example code showing the issue of stochastic variable drift for reinforcement learning
Thoughtful-Data-Science
Thoughtful Data Science, published by Packt