Clarence's repositories
awesome-deep-learning-papers
The most cited deep learning papers
cookbook-2nd
IPython Cookbook, Second Edition, by Cyrille Rossant, Packt Publishing 2018
dawp
Derivatives Analytics with Python (Wiley Finance)
dl-4-tsc
Deep Learning for Time Series Classification
GettingStarted
Scipy 2019 Tutorial
handson-ml
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.
introduction_to_ml_with_python
Notebooks and code for the book "Introduction to Machine Learning with Python"
library-of-functions
Repository to collect and store functions
ML-From-Scratch
Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.
Numpy-Tutorial-SciPyConf-2019
Numpy-Tutorial-SciPyConf-2019
py4fi2nd
Jupyter Notebooks and codes for Python for Finance (2nd ed., O'Reilly) by Yves Hilpisch.
pysf
Supervised forecasting of sequential data in Python.
PythonDataScienceHandbook
Python Data Science Handbook: full text in Jupyter Notebooks
QuantEcon.py
A community based Python library for quantitative economics
scipy-2019-pandas
Pandas tutorial for SciPy 2019
scipy2019-jupyterlab-tutorial
Scipy 2019 JupyterLab tutorial
scipy_con_2019
Tutorial Sessions for SciPy Con 2019
SingAlliance_Challenge
SingAlliance Code Challenge
Strategies
Snippets of work in Python
WhirlwindTourOfPython
The Jupyter Notebooks behind my OReilly report, "A Whirlwind Tour of Python"