Kurucan's repositories
kaggle-optiver-2024
Code for the submission at Trading at the Close competition
ashrae-great-energy-predictor-3-solution-analysis
Analysis of top give winning solutions of the ASHRAE Great Energy Predictor III competition
awesome-conformal-prediction
A professionally curated list of awesome Conformal Prediction videos, tutorials, books, papers, PhD and MSc theses, articles and open-source libraries.
Data-Visualization
Collection of interactive Jupiter Notebook widgets and graphs.
EAP
empirical asset pricing
famafrench-1
Python package designed to construct and replicate datasets from Ken French's online library by accessing WRDS remotely through its cloud server "wrds-cloud".
Hisse-Degerleme-Fiyat-Tahmini
Bu projede PCA,Lineer Regresyon ve SARIMA kullanarak MGROS hissesinin değerlemesini yaparak fiyat tahmininde bulunuyoruz.
IMLEF-MQuEA
Repository of the course Introduction to Machine Learning in Economics and Finance | Master in Quantitative Economic Analysis | UAM
M5-methods
Data, Benchmarks, and methods submitted to the M5 forecasting competition
m6
M6-Forecasting competition
machine-learning-in-asset-pricing
Machine Learning in Asset Pricing: Time-Series and Cross-Sectional Forecasting of Excess Equity Returns
ML-AI-DS-for-Finance
Machine Learning, Artificial Intelligence, Data Science for Finance - a repository
ML_Fall_2022
NYU Tandon Machine Learning and Finance Fall 2022
ML_Fall_2023
NYU Tandon Machine Learning and Finance Fall 2023
MLF
Machine Learning for Finance: 2019-20 Module 3 (Spring 2020)
mlfactor-python
Reading notes and Python implementation for book "Machine Learning for Factor Investing" by Silkdust
panama-electricity-load-forecast
Regression model to forecast pre-dispatch electricity demand based on historical national demand.
peaky-finders
ISO peak load forecasting application
PyEMD
Python implementation of Empirical Mode Decompoisition (EMD) method
python-training
Python training for business analysts and traders
tell
A model to predict Total ELectricity Loads (TELL)
TimeSeries_AnomalyPrediction_With_SolarParks
Using machine learning methods for determining subsystems that are potentially faulty and should be inspected by a technician for further fault analysis
uni2ts
Unified Training of Universal Time Series Forecasting Transformers