Skip to content

Add python version in the Readme file to avoid dependancy failure #34

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Merged
fenar merged 2 commits into from
Aug 13, 2026
Merged

Add python version in the Readme file to avoid dependancy failure #34

Show file tree
Hide file tree
Changes from all commits
Commits
Show all changes
2 commits
Select commit Hold shift + click to select a range
f9b2f71
add python 3.12 as minimum version with the current requirement file
Aug 12, 2026
d95e264
update Readme file with Python minimum version
Aug 12, 2026
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
8 changes: 8 additions & 0 deletions churn/ReadMe.md
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -9,6 +9,14 @@ This project delivers an end‑to‑end Telecom Customer Churn Prediction soluti

Both models are trained on rich, synthetic telecom datasets—incorporating usage patterns, billing details, and support interactions—to predict which customers are at highest risk of churn. By identifying high‑risk segments in advance, operators can deploy targeted retention offers and optimize churn‑prevention campaigns, ultimately safeguarding revenue and improving customer lifetime value.

## Software Requirement

| Software | Version |
|---------------|---------|
| Python | 3.12 |

> Tested with Python 3.12 as the minimum version. Python 3.13 and later 3.x releases may work but have not been validated.

## Model Options

Both the Balanced Random Forest and LightGBM classifiers are well‑suited for binary churn prediction, but they achieve this in different ways that are worth understanding:
Expand Down
9 changes: 9 additions & 0 deletions revenueassurance/ReadMe.md
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -2,6 +2,7 @@

- [Revenue Assurance and Fraud Management (RAFM) with AI Assistance](#Revenue-Assurance-and-Fraud-Management-\(RAFM\)-with-AI-Assistance)
- [Project Overview](#Project-Overview)
- [Software requirement](#Software-Requirement)
- [Options](#Options)
- [Data](#Data)
- [Results](#Results)
Expand All @@ -24,6 +25,14 @@ The models are trained on synthetic telecom data to predict fraud cases and iden

Data-Set: https://huggingface.co/datasets/fenar/revenue_assurance

## Software Requirement

| Software | Version |
|---------------|---------|
| Python | 3.12 |

> Tested with Python 3.12 as the minimum version. Python 3.13 and later 3.x releases may work but have not been validated.

## Options

(1) Revenue Assurance is a domain where traditional machine learning models, such as tree-based methods, often perform very well. Specifically, models like the `Balanced Random Forest` (01-xxx Worx) can be advantageous due to their inherent ability to handle class imbalance and interpretability.<br>[ Test Accuracy: 0.99962] <br>
Expand Down
8 changes: 8 additions & 0 deletions serviceassurance/ReadMe.md
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -7,6 +7,14 @@ This project aims to deliver a service assurance insights (net promoter score -N

**🎥 Demo Video**: [Watch on YouTube](https://youtu.be/gFbtux0dGVA) <br>

## Software Requirement

| Software | Version |
|---------------|---------|
| Python | 3.12 |

> Tested with Python 3.12 as the minimum version. Python 3.13 and later 3.x releases may work but have not been validated.

## Data
![Service Assurance Data Structure](https://raw.githubusercontent.com/fenar/etc-ai-wrx/main/serviceassurance/data/svcass-datainsp.png)<br>

Expand Down
8 changes: 8 additions & 0 deletions starlink/README.md
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -12,6 +12,14 @@ To empower travelers with insights into Starlink's internet service quality at t
<img src="https://raw.githubusercontent.com/tme-osx/TME-AIX/refs/heads/RedHat-Special/starlink/images/starling-qoe-moods.png" width="640"/>
</div>

## Software Requirement

| Software | Version |
|---------------|---------|
| Python | 3.12 |

> Tested with Python 3.12 as the minimum version. Python 3.13 and later 3.x releases may work but have not been validated.

## Data
![Data Structure](https://raw.githubusercontent.com/tme-osx/TME-AIX/refs/heads/main/starlink/images/starlink-data.png)<br>
DataSet Location: https://huggingface.co/datasets/fenar/starlink
Expand Down
Loading