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Graduated from Econometrics department
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Graduated from Econometrics department
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mikbalyilmaz/README.md

Chosen from the list today;

  Anouar Brahem - Eté andalous
🎵   Anouar Brahem - Eté andalous

Muhammed İkbal Yılmaz

B.Sc. Econometrics — Ankara Hacı Bayram Veli University (2024)

I’m preparing for research-oriented graduate studies. My main interests:

  • Econometrics & statistical modeling
  • Time series analysis and forecasting
  • Applied machine learning (econometric perspective)
  • Nonlinear and high-dimensional models

What you’ll find here;

This profile is a workspace for learning, replication, and small projects as I build a stronger methodological foundation for graduate-level econometrics.

Experience;

  • TÜBİTAK 2209-A (2023–2024) — Brand Preference, Loyalty & Trust: Applied Statistical Study
  • UYIK 2024 — Statistical analysis of brand perception among university students
  • IDSSC 2024 — Classification of Brand Perception Using Random Forest

Tools;

Python (Jupyter), R, Stata, SPSS, LaTeX (Note: It usually changes)

Contact;

Pinned Loading

  1. calculus calculus Public

    An applied and visual companion to Tom M. Apostol’s Calculus (Vol. 1–2). Concepts and exercises are explored using Python and Jupyter notebooks through numerical experiments, symbolic computations,…

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  2. Return-Dynamics-of-ASELSAN-under-Global-and-Sovereign-Risk-Factors Return-Dynamics-of-ASELSAN-under-Global-and-Sovereign-Risk-Factors Public

    This project studies the predictability of ASELSAN stock returns using a multivariate ARX framework and modern machine learning models. It combines macro-financial variables, robustness checks, and…

    Jupyter Notebook 1

  3. Classification-Brand-Perception-using-RF-on-BP-BL-BT Classification-Brand-Perception-using-RF-on-BP-BL-BT Public

    This study applies Random Forest classification to analyze brand preference, loyalty, and trust among university students. Using survey data and SMOTE for class imbalance, the research highlights s…

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  4. bitcoin-macro-blueml bitcoin-macro-blueml Public

    An econometric and machine learning analysis of Bitcoin price drivers, testing Gauss-Markov assumptions (BLUE) and comparing OLS with Random Forest models.

    Jupyter Notebook 1

  5. ADF_Unit_Root ADF_Unit_Root Public

    Jupyter Notebook on USD/Credit and CPI (inflation) using time series, visualization, and stats. Built with pandas, matplotlib/seaborn, and statsmodels, it shows links between exchange rates, credit…

    Jupyter Notebook 1

  6. coin-flipping-exercise coin-flipping-exercise Public

    This project visualizes the Law of Large Numbers (LLN) and the Central Limit Theorem (CLT) using a coin toss experiment. As the number of trials increases, the probability converges to 0.5, and the…

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