Pinned Repositories
a3c_trading
Trading with recurrent actor-critic reinforcement learning
aakinshin.net
My blog
adv-r
Advanced R: a book
Advanced-Machine-Learning-with-Python
Code repository for Advanced Machine Learning with Python, published by Packt
ai-journey-2019
Материалы соревнования AI Journey 2019
Credit-Risk-Modeling
Credit Risk Models for Scorecards, PD, LGD, EAD
hse-shad-ml
Введение в машинное обучение. Курс от ВШЭ и ШАД на coursera.org
Interest_Rate_Modelling
python, computational finance, interest rate modelling, pricing interest rate options
RiskPortfolios
Functions for the construction of risk-based portfolios
StephanKalika's Repositories
StephanKalika/An-introduction-to-analysis-of-financial-data-with-R
StephanKalika/C-Sharp-Algorithms
Implementations of Data Structures and Algorithms in C#
StephanKalika/clr-via-csharp-4th-edition-code-1
code for CLR via c#
StephanKalika/ConvertibleBond
StephanKalika/Credit-Scoring-Analysis
Uses various classification models to analyse credit risk
StephanKalika/CreditRiskScoring
Attacking discrimination with smarter machine learning
StephanKalika/CsForFinancialMarkets
StephanKalika/DA_and_ML_Python
StephanKalika/data-mining
Материалы к книге "Классификация, регрессия, и другие алгоритмы Data Mining с использованием R"
StephanKalika/EliteQuant_Excel
EliteQuant Excel for Quantitative Modeling, Trading, and Portfolio Management. It enables you to create quantitative financial models in Excel spreadsheet, in the same way how financial professionals such as traders, quants, and portfolio managers do their day to day work. You are able to create pricing tools for products across all asset classes such as interest rate or FX, and from plain vanilla to exotic instruments. You are also able to backtest and live trade from Excel, with the so-called RTD, or real-time data support.
StephanKalika/Financial_Markets4
Курс "Количественные финансы" НИУ ВШЭ
StephanKalika/Financial_Markets4-old
Курс "Количественные финансы" (4 курс) НИУ ВШЭ
StephanKalika/high_performance_python
Code for the book "High Performance Python" by Micha Gorelick and Ian Ozsvald with OReilly
StephanKalika/hse-optimization-course
Практические задания по курсу "Методы Оптимизации" ВШЭ
StephanKalika/hse-yandex-introduction-to-machine-learning
Introduction to Machine Learning by HSE and Yandex School of Data Analysis
StephanKalika/hsequantling
StephanKalika/InformationValue
Information Value CRAN Pkg: Performance Analysis and companion functions that aid binary classification models like that of logistic regression
StephanKalika/interest-rate
Interest Rate Models, Baruch group project
StephanKalika/Markov-Chain
SAS Codes for Markov Chain
StephanKalika/mashinnoye-obucheniye
:books: Специализация «Машинное обучение и анализ данных»
StephanKalika/Mastering-Predictive-Analytics-with-R-Second-Edition
Mastering Predictive Analytics with R - Second Edition, published by Packt
StephanKalika/ML_for_Hackers
Code accompanying the book "Machine Learning for Hackers"
StephanKalika/probability_cheatsheet
A comprehensive 10-page probability cheatsheet that covers a semester's worth of introduction to probability.
StephanKalika/Python-Deep-Learning-Cookbook
Python Deep Learning Cookbook, published by Packt
StephanKalika/Python-for-Financial-Analysis-and-Algorithmic-Trading
https://www.udemy.com/python-for-finance-and-trading-algorithms/
StephanKalika/QRM
Quantitative Risk Management Concepts
StephanKalika/r_cycle
cycle of R notes on different topics
StephanKalika/riskr
StephanKalika/ScoringModels
R package for Automatic Scoring Modeling.
StephanKalika/TradingStrategies
Algorithmic trading strategies