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SulaimanTajuddin/README.md

💫 About Me:

🔭 I’m a versatile engineer with the mixed of mechanical, electrical, control & instrumentation engineering
🌱 Avid researcher in Data Science, Machine Learning, Deep Learning, AI, Economics & Geopolitics
✅ During my free time, I enjoy running, reading books, hands-on data science & AI projects, and playing games

🌐 Socials:

[LinkedIn][www.linkedin.com/in/ahmad-sulaiman-ahmad-tajuddin-73a98717a]
[email][sulaimantajuddin96@gmail.com]

💻 Tech Stack:

C Markdown Python Azure Anaconda Apache Spark Apache Kafka Apache MicrosoftSQLServer MySQL Sketch Up Adobe Keras Matplotlib NumPy Pandas PyTorch scikit-learn Scipy TensorFlow Plotly mlflow GitHub

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  1. Malaysia-Residential-Property-Analysis Malaysia-Residential-Property-Analysis Public

    Malaysia Residential Property Analysis

    Jupyter Notebook

  2. TSA-F-Humidity-Warehouse TSA-F-Humidity-Warehouse Public

    Time Series Analysis and Forecasting for Multiple Humidity Sensor in a Warehouse

    Jupyter Notebook

  3. EDA-BMW-Global-Automotive-Sales EDA-BMW-Global-Automotive-Sales Public

    Exploratory data analysis for BMW Global Automotive Sales

    Jupyter Notebook

  4. Malaysia-Johor-Residential-Property-Price-Prediction-XGBoost Malaysia-Johor-Residential-Property-Price-Prediction-XGBoost Public

    Residential property price prediction for Johor, Malaysia using XGBoost

    Jupyter Notebook

  5. RFR-PCA-for-Malaysia-Mixed-Properties-Dataset RFR-PCA-for-Malaysia-Mixed-Properties-Dataset Public

    Applying Random Forest Regressor & Principle Component Analysis (PCA) towards Malaysia Mixed Properties Dataset to analyze the practicality of both method

    Jupyter Notebook

  6. EDA-using-Microsoft-Fabric EDA-using-Microsoft-Fabric Public

    Exploratory data analysis using Microsoft Fabric