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PedruMota/README.md

👋 Hello, I'm Pedro Mota.

Currently deepening my expertise in Statistics and Machine Learning to solve problems through data-driven approaches.

📚 Current Focus

Statistical Learning: Probability theory and inferential statistics

Machine Learning: Supervised/unsupervised learning, model evaluation, and optimization

Data Analysis: Exploratory data analysis, data visualization, hypothesis testing, and experimental design

Practical Implementation: Building end-to-end ML pipelines and deploying models

🛠️ Technical Skills

Programming & Tools

Python R SQL Git

Popular repositories Loading

  1. PedruMota PedruMota Public

  2. pso-rice-yield-feature-selection pso-rice-yield-feature-selection Public

    Automated feature selection framework for Rice Yield Prediction using Particle Swarm Optimization (PSO). Implements Warm Start, Dynamic Penalties, and K-Fold CV using R (LM/RF).

    R

  3. sql-crop-yield-analytics sql-crop-yield-analytics Public

    Data Engineering pipeline: Python ETL, Star Schema Modeling, and SQL Analysis (Window Functions) on global Crop Yield data.

    Jupyter Notebook