StephanKalika

Pinned Repositories

a3c_trading
Trading with recurrent actor-critic reinforcement learning
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aakinshin.net
My blog
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adv-r
Advanced R: a book
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Advanced-Machine-Learning-with-Python
Code repository for Advanced Machine Learning with Python, published by Packt
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ai-journey-2019
Материалы соревнования AI Journey 2019
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Credit-Risk-Modeling
Credit Risk Models for Scorecards, PD, LGD, EAD
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hse-shad-ml
Введение в машинное обучение. Курс от ВШЭ и ШАД на coursera.org
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Interest_Rate_Modelling
python, computational finance, interest rate modelling, pricing interest rate options
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RiskPortfolios
Functions for the construction of risk-based portfolios
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StephanKalika's Repositories

StephanKalika/Advanced-Machine-Learning-with-Python
Code repository for Advanced Machine Learning with Python, published by Packt
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StephanKalika/ai-journey-2019
Материалы соревнования AI Journey 2019
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StephanKalika/anomaly-detection-resources
Anomaly detection related books, papers, videos, and toolboxes
StephanKalika/awesome-machine-learning-interpretability
A curated list of awesome machine learning interpretability resources.
StephanKalika/awesome-math
A curated list of awesome mathematics resources
StephanKalika/awesome-public-datasets
A topic-centric list of HQ open datasets. PR ☛☛☛
StephanKalika/ClassicComputerScienceProblemsInPython
Source Code for the Book Classic Computer Science Problems in Python
StephanKalika/coding-interview-university
A complete computer science study plan to become a software engineer.
StephanKalika/CompFinLecture
Material for Antoine Savine's Computational Finance Lectures at Copenhagen University & Kings College London
StephanKalika/Data-Science-Mindset
Resources for Data Science and ML
StephanKalika/DataScience-Roadmap
My roadmap to study Data Science
StephanKalika/datasciencecoursera
Data Science Repo and blog for John Hopkins Coursera Courses. Please let me know if you have any questions.
StephanKalika/datasciencecoursera-1
for Data Science class on Coursera
StephanKalika/dlaicourse
Notebooks for learning deep learning
StephanKalika/Financial-Models-Numerical-Methods
Collection of notebooks about quantitative finance, with interactive python code.
StephanKalika/IFRS9LongTermPDLGDConverter
generate longterm PD LGD and update the instrument reference file
StephanKalika/interpretable_machine_learning_with_python
Practical techniques for training interpretable ML models, explaining ML models, and debugging ML models.
StephanKalika/Java-examples
Java examples with documentation
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StephanKalika/keras
Deep Learning for humans
StephanKalika/Learn-Algorithmic-Trading
Learn Algorithmic Trading, Published by Packt
StephanKalika/Linear-Regression-Analysis-in-Python-for-Machine-Learning
Code Repository for Linear Regression Analysis in Python for Machine Learning, published by Packt
StephanKalika/Machine-Learning-for-Finance
Machine Learning for Finance, published by Packt
StephanKalika/mlcourse.ai
Open Machine Learning Course
StephanKalika/open-quant-live-book
An open source, hands-on and fully reproducible book in quantitative finance, data science and econophysics. Join us and help Make Wall Street Great Again!
StephanKalika/Python
All Algorithms implemented in Python
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StephanKalika/python-machine-learning-book
The "Python Machine Learning (1st edition)" book code repository and info resource
StephanKalika/qfrm
Python tools to quantitatively manage financial risk
StephanKalika/QuantEcon.py
A community based Python library for quantitative economics
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StephanKalika/TimeSeries_Notebooks_Collections
Jupyter Notebooks Collection for Learning Time Series Models
StephanKalika/zipline
Zipline, a Pythonic Algorithmic Trading Library