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Download complete DMBI Practical solutions (ARM, Naive Bayes, Decision Tree, K-Means, Hierarchical Clustering) to your working directory.

Project description

dmbi-downloader

A pip-installable package that downloads the complete DMBI Practical All Solutions Python file directly to your working directory with a single function call.


📦 Installation

pip install dmbi-downloader

Or install locally from source:

pip install .

🚀 Usage

Option 1 – Python import (recommended)

from dmbi_downloader import download
download()
# ✅ Saved to: /your/current/folder/DMBI_Practical_All_Solutions.txt

Option 2 – Custom filename

from dmbi_downloader import download
download("my_dmbi_code.txt")

Option 3 – Run as module

python -m dmbi_downloader

Option 4 – Console command (after pip install)

dmbi-download

📁 What gets downloaded?

A single .txt file named DMBI_Practical_All_Solutions.txt containing complete Python code for:

# Topic Questions
1 Association Rule Mining – Apriori (Real Datasets) Q1–Q10
2 Association Rule Mining – Apriori (Custom Datasets) Q1–Q10
3 Naive Bayes Classifier (Real Datasets) Q1–Q10
4 Naive Bayes Classifier (Custom Datasets) Q1–Q10
5 Decision Tree Classifier (Real Datasets) Q1–Q10
6 Decision Tree Classifier (Custom Datasets) Q1–Q10
7 K-Means Clustering (Real Datasets) Q1–Q10
8 K-Means Clustering (Custom Datasets) Q1–Q10
9 Hierarchical Clustering (Real Datasets) Q1–Q10
10 Hierarchical Clustering (Custom Datasets) Q11–Q20

🔧 Requirements to run the downloaded code

pip install pandas numpy matplotlib seaborn scikit-learn mlxtend

📄 License

MIT

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