homodigitus

veribilimi101_2020

Veri Bilimi 101 YTÜ Girişimcilik Kulübü

finansal_analiz_notlari

Python ile finansal analiz çalışma notları

isletmeler_icin_uctan_uca_verimlilik_analizi

İşletmeler için Uçtan Uca Verimlilik Analizi: benchmarking ve tidyverse

basic_econometrics_handouts

Basic Econometrics Handouts

r_ile_veri_analitigine_giris

R ile Veri Analitiğine Giriş

seirsplus

Models of SEIRS epidemic dynamics with extensions, including network-structured populations, testing, contact tracing, and social distancing.

arbitrage_research

arbitragelab

ArbitrageLab is a python library that enables traders who want to exploit mean-reverting portfolios by providing a complete set of algorithms from the best academic journals.

data-science-template

Template for a data science project

deneme_repo

özel bir tanım

deploying-machine-learning-models

Example Repo for the Udemy Course "Deployment of Machine Learning Models"

homeworks_applications

Basic Homeworks and Applications

homodigitus

My Personal Repository

kthack2020-qpapatya-egitsel-materyal

KTHACK2020 QPapatya Ekibi Eğitsel Materyal

Lean

Lean Algorithmic Trading Engine by QuantConnect (Python, C#)

Learn2Clean

Learn2Clean: Optimizing the Sequence of Tasks for Data Preparation and Cleaning

lifetimes

Lifetime value in Python

list-of-awesome-lists

List of Awesome Lists

mlfinlab

MlFinLab helps portfolio managers and traders who want to leverage the power of machine learning by providing reproducible, interpretable, and easy to use tools.

mlxtend

A library of extension and helper modules for Python's data analysis and machine learning libraries.

mxdevtool-python

Financial Library ( Economic Scenario Generator, Asset Liability Management, Pricing )

OptiGuide

Large Language Models for Supply Chain Optimization

optimization

Optimization Studies

pycaret

An open-source, low-code machine learning library in Python

pyDecisions

A python MCDA Library - AHP; Fuzzy AHP; ARAS; Borda; BWM; CODAS; COPRAS; CRITIC; DEMATEL; Fuzzy DEMATEL; EDAS; Fuzzy EDAS; ELECTRE (I, I_s, I_v, II, III, IV, Tri-B); GRA; IDOCRIW; MOORA; MOOSRA; MULTIMOORA; PROMETHEE (I, II, III, IV, V, VI, Gaia); SAW; SMART; TOPSIS; Fuzzy TOPSIS; VIKOR; Fuzzy VIKOR; WINGS; WSM; WPM; WASPAS

stackooverflow_assistant_bot

stackoverflow assistant bot project

Stock-Prediction-Models

Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations

stockpredictionai

In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Adversarial Network (GAN) with LSTM, a type of Recurrent Neural Network, as generator, and a Convolutional Neural Network, CNN, as a discriminator. We use LSTM for the obvious reason that we are trying to predict time series data. Why we use GAN and specifically CNN as a discriminator? That is a good question: there are special sections on that later.

tani_deneme_repo

deneme repo çalışması

timeseries

Time Series Analysis