I'm a passionate learner, always eager to explore new technologies and deepen my understanding of Machine Learning, Data Science, and Artificial Intelligence. I believe in sharing my insights and projects to inspire others and push the boundaries of what we can do.
- Machine Learning Fundamentals
- Exploratory Data Analysis (EDA) with Python (pandas, numpy, matplotlib, seaborn)
- Natural Language Processing (NLP), Large Language Models
- Visualization tools (matplotlib, seaborn) and project documentation for reproducibility
- Efficient GitHub workflow including README.md, .gitignore, requirements.txt, project organization, and repo optimization
- Snake Game in Python (Turtle): Classic game recreation for Python beginners
- House Prices EDA: Data science project featuring data cleaning, visualization, and feature analysis
- Energy Consumption ML Prediction: Real-world linear regression modelling, feature engineering, and predictive analytics
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Python, pandas, numpy, matplotlib, seaborn
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scikit-learn, jupyter-notebook
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Data Cleaning, EDA, Regression, Prediction, Visualization
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Git & GitHub: repo management, markdown, workflow automation
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Machine Learning basics and project workflow
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Visualization best practices
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Getting started with Kaggle competitions
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Project organization and documentation for data science
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Real-world ML projects (e.g. energy consumption prediction)
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Geometric Deep Learning and advanced ML architectures
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Community resources for collaborative learning
“The only limit to our realization of tomorrow will be our doubts of today.”
Feel free to check out my repos for inspiration or collaboration. Star ⭐ your favorite projects if you enjoy them!