This is my private space where I organize and document everything I’m learning about **Python** for data analysis.
**Last Updated:** June 24, 2026
### 🌳 Structured Learning Path
#### 1. Python & Pandas Basics
* Loading CSV files with `pd.read_csv()`
* Understanding `df`, `pd`, and basic exploration (`shape`, `head()`, `columns`)
* Dropping columns
#### 2. Preparing Data for Machine Learning
* Defining Features (`X`) and Target (`y`)
* Train-Test Split (80/20)
#### 3. Machine Learning Models
* Decision Tree Classifier
* Confusion Matrix and Accuracy Score
#### 4. Next Steps
* Visualization with Matplotlib/Seaborn
* Trying different models
### 📌 Featured Posts
This page will grow as I continue learning Python.