homodigitus

advanced_econometrics_handouts

This repository includes Advanced Econometrics lecture handouts and some course materials.

basic_econometrics_handouts

Basic Econometrics Handouts

finansal_analiz_notlari

Python ile finansal analiz çalışma notları

isletmeler_icin_uctan_uca_verimlilik_analizi

İşletmeler için Uçtan Uca Verimlilik Analizi: benchmarking ve tidyverse

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.

temel_ekonometri_notlari

Temel Ekonometri Notları

veribilimi101_2020

Veri Bilimi 101 YTÜ Girişimcilik Kulübü

xgboost

Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Flink and DataFlow

homodigitus/veribilimi101_2020

Veri Bilimi 101 YTÜ Girişimcilik Kulübü

homodigitus/finansal_analiz_notlari

Python ile finansal analiz çalışma notları

homodigitus/isletmeler_icin_uctan_uca_verimlilik_analizi

İşletmeler için Uçtan Uca Verimlilik Analizi: benchmarking ve tidyverse

homodigitus/r_ile_veri_analitigine_giris

R ile Veri Analitiğine Giriş

homodigitus/seirsplus

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

homodigitus/arbitrage_research

homodigitus/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.

homodigitus/data-science-template

Template for a data science project

homodigitus/deneme_repo

özel bir tanım

homodigitus/deploying-machine-learning-models

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

homodigitus/homeworks_applications

Basic Homeworks and Applications

homodigitus/homodigitus

My Personal Repository

homodigitus/jira

Python Jira library. Development chat available on https://matrix.to/#/#pycontribs:matrix.org

homodigitus/kthack2020-qpapatya-egitsel-materyal

KTHACK2020 QPapatya Ekibi Eğitsel Materyal

homodigitus/Lean

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

homodigitus/Learn2Clean

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

homodigitus/lifetimes

Lifetime value in Python

homodigitus/list-of-awesome-lists

List of Awesome Lists

homodigitus/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.

homodigitus/mlxtend

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

homodigitus/mxdevtool-python

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

homodigitus/OptiGuide

Large Language Models for Supply Chain Optimization

homodigitus/optimization

Optimization Studies

homodigitus/pycaret

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

homodigitus/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

homodigitus/stackooverflow_assistant_bot

stackoverflow assistant bot project

homodigitus/Stock-Prediction-Models

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

homodigitus/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.

homodigitus/tani_deneme_repo

deneme repo çalışması

homodigitus/timeseries

Time Series Analysis