Kaggle Journey

Welcome to my Kaggle repository, where I document my learning process, competition participation, and data science experiments.

About This Repository

This repository serves as a personal journal for my data science journey through Kaggle.

• Exploratory Data Analysis (EDA) notebooks
• Competition solutions
• Notes and insights from kernels
• Experiments with different machine learning models and techniques

Goals

• Improve data preprocessing and visualization skills
• Master ML models
• Deepen understanding of neural networks and deep learning
• Develop reproducible workflows and pipelines

Tech Stack

• Python (Pandas, NumPy, Scikit-learn, Matplotlib, Seaborn)
• Jupyter Notebooks
• Git & GitHub for version control
• Kaggle Datasets & Notebooks

Contact

Feel free to connect with me via GitHub or check out my Kaggle profile!