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Projects in Awesome Lists by qtle3

A curated list of projects in awesome lists by qtle3 .

https://github.com/qtle3/gpu-checker

This script checks the availability of CUDA-enabled GPUs and prints detailed GPU information for both PyTorch and TensorFlow frameworks. It's a handy utility for ensuring that your deep learning environment is correctly configured to utilize GPU acceleration.

cross-framework cuda-toolkit gpu-acceleration gpu-computing gpu-information gpu-monitoring pytorch tensorflow

Last synced: 25 Jan 2026

https://github.com/qtle3/score_counter

This program lets you track the scores for a game between two players. You start by entering the players' names, and then the program keeps track of their scores as you play. The game goes on until one of the players wins by either getting at least 15 points with a 2-point lead or scoring 7 points while the other player has none.

basic-logic loops python user-input

Last synced: 06 Nov 2025

https://github.com/qtle3/bmi_calculator

Calculate your Body Mass Index (BMI) by entering your weight and height. The Python program computes your BMI and tells you if you're within a healthy range, below it, or above it.

arithmetic-operations conditional-statements functions string-formatting type-conversion user-input

Last synced: 27 Jul 2025

https://github.com/qtle3/age_category

This simple Python program determines and outputs the age category of a user based on their input. The user is prompted to enter their age, and the program categorizes them into one of several predefined age groups.

basic-control-flow conditional-statements data-conversion user-input

Last synced: 20 Sep 2025

https://github.com/qtle3/change_counter

This simple Python program calculates the total dollar value of a given number of quarters, dimes, nickels, and pennies. The user is prompted to enter the count of each type of coin, and the program computes the total value in dollars.

arithmetic-operations data-conversion formatted-output user-input

Last synced: 29 Jul 2025

https://github.com/qtle3/logistic-regression

A Python implementation of Logistic Regression to classify social network ads based on age and estimated salary, featuring data visualization and performance metrics such as confusion matrix and accuracy score.

data-visualization feature-scaling logistic-regression logistic-regression-algorithm model-evaluation

Last synced: 01 Aug 2025

https://github.com/qtle3/dsa-arrays

Last synced: 08 Apr 2025

https://github.com/qtle3/retail_returns

This Python program helps determine whether an item is eligible for return at a retail store. It checks various criteria such as possession of a receipt, the time since purchase, whether the item is a food product, the condition of the item, and whether the item was marked as a final sale.

Last synced: 08 Apr 2025

https://github.com/qtle3/decision-tree-regression

This project implements **Decision Tree Regression** to predict the salary of an employee based on their position level. By using a dataset containing position levels and their corresponding salaries, the project highlights how decision trees can capture complex relationships in data through non-linear regression.

data-visualization decision-tree-regression prediction-model

Last synced: 08 Apr 2025

https://github.com/qtle3/polynomial-regression

This project demonstrates the use of both Linear and Polynomial Regression models to predict salaries based on the position level of employees. By using a dataset that contains position levels and their corresponding salaries, this project showcases the differences between linear and polynomial models in fitting data and making predictions.

data-visualization linear-regression model-comparison polynomial-regression salary-prediction

Last synced: 08 Apr 2025

https://github.com/qtle3/multiple-linear-regression

A Python implementation of multiple linear regression to predict the profit of startups based on their spending in R&D, Administration, Marketing, and the state they operate in.

data-preprocessing feature-engineering interpretation-of-results model-training-and-evaluation multiple-linear-regression-model prediction-algorithm

Last synced: 08 Apr 2025

https://github.com/qtle3/voter-elegibility

This program determines if a person is eligible to vote in the US elections. It takes input from the user to assess the following: Citizenship, Age, State Residency, and Felony Status.

basic-control-flow conditional-statements user-input

Last synced: 12 Jul 2025

https://github.com/qtle3/boxing_weight_classes

The Python Boxing Weight Classifier is a simple Python script that determines the appropriate Olympic boxing weight class based on the user's input weight (in pounds) and gender. It categorizes both men and women into their respective weight classes according to Olympic standards.

arithmetic-operations conditional-statements data-structures error-handling modular-design string-manipulation

Last synced: 08 Apr 2025

https://github.com/qtle3/u_name_generator

Generates unique usernames by combining the first initial, first 7 characters of the last name, and a random number, ensuring uniqueness by checking against a set of existing usernames.

random-number-generator recursion sets string-manipulation user-input

Last synced: 08 Apr 2025

https://github.com/qtle3/stats

This repository contains two Python scripts, `stats_calculations.py` and `stats_user.py`, which provide a comprehensive toolset for performing statistical calculations. The program allows users to compute various statistical metrics such as mean, median, mode, variance, and standard deviation, all through a user-friendly command-line interface.

alogrithm error-handling modular-design python-functions quick-select statistical-analysis user-input

Last synced: 08 Apr 2025

https://github.com/qtle3/word_frequency

This Python script calculates and displays the frequency of words in a specified text file. It reads the contents of the file, counts the occurrences of each word, and then outputs the words sorted by their frequency.

Last synced: 08 Apr 2025

https://github.com/qtle3/temp_converter

This repository contains a collection of Python scripts designed to perform temperature conversions between Celsius and Fahrenheit using both command-line and graphical interfaces. The main script, temp_convert_gui.py, provides a user-friendly graphical interface for conversions, while the other scripts offer command-line functionality.

error-handling event-handling graphic-user-interface user-input

Last synced: 08 Apr 2025

https://github.com/qtle3/ms_rolling_dice

This Python program lets you create and use a multi-sided die, just like the ones you’d use in board games. With this class, you can make dice with any number of sides, roll them to get a random number, and set or check the current value showing on the die. The program also includes a simple example to show how it works.

class-definition encapsulation initialization randomization

Last synced: 08 Apr 2025

https://github.com/qtle3/support-vector-regression

This project implements Support Vector Regression (SVR) to predict the salary of an employee based on their position level. The script uses a dataset that contains position levels and corresponding salaries, applying feature scaling to improve the performance of the SVR model. The results are visualized to show how well the model fits the data.

data-visualization feature-scaling gaussian-kernel inverse-transform-method support-vector-regression

Last synced: 25 Oct 2025

https://github.com/qtle3/simple-linear-regression

A Python script that implements a simple linear regression model to predict employee salaries based on years of experience, with predictions for mid-level and senior-level roles.

coefficients-and-intercept data-handling model-training prediction visualization

Last synced: 14 Oct 2025

https://github.com/qtle3/random-forest-regressor

This project implements **Random Forest Regression** to predict the salary of an employee based on their position level. Using a dataset that includes position levels and corresponding salaries, this project demonstrates how an ensemble method like Random Forest can improve prediction accuracy by averaging multiple decision trees.

ensemble-learning model-training-and-evaluation prediction random-forest-regression

Last synced: 15 Oct 2025

https://github.com/qtle3/adcampaignetl

Last synced: 24 Oct 2025