A collection of Python-based projects covering data manipulation, exploratory data analysis, unsupervised machine learning, and real-world business case studies.
| File | Topic |
|---|---|
Performa-Penjualan-di-Setiap-Cabang.py |
Sales performance analysis across branches |
Unsupervised-Learning.py |
Clustering & unsupervised machine learning |
customers-on-december.py |
Customer behavior analysis |
datamanipulation2.py |
Data manipulation & transformation |
datavisual.py |
Data visualization |
ekspedisipaman.py |
Expedition/logistics data case study |
hargarumah.py |
House price analysis |
hargarumahtangerang.py |
House price analysis — Tangerang region |
housing-boston.py |
Boston housing dataset exploration |
pre-processing-data.py |
Data cleaning & preprocessing pipeline |
promo-ecommerce.py |
E-commerce promotion analysis |
studikasus-oop.py |
Object-Oriented Programming case study |
top-brand.py |
Top brand index analysis |
- Exploratory Data Analysis (EDA) — Understanding data distributions, patterns, and business insights
- Data Preprocessing — Cleaning, transforming, and preparing datasets for analysis
- Unsupervised Machine Learning — Clustering techniques for pattern discovery
- Business Case Studies — Real-world datasets covering retail, property, logistics, and e-commerce
- Object-Oriented Programming (OOP) — Applying OOP principles in Python
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Clone this repository
git clone https://github.com/wirsem/projectpython.git
-
Set up the environment
cd profiling_env pip install -r requirements.txt -
Run any script
python filename.py
Wira Tarumta Timothy Sembiring