Projects in Awesome Lists by Relostar-Devil
A curated list of projects in awesome lists by Relostar-Devil .
https://github.com/relostar-devil/unleashing-sales-analytics-potential-using-microsoft-excel
Dynamic sales dashboard in Excel, leveraging advanced features such as PivotTables, charts, and formulas to analyze a large sales transaction dataset.
Last synced: 19 Jan 2026
https://github.com/relostar-devil/design-of-experiments-doe
This Design of Experiments (DOE) study for SCM 517 optimizes a Lego race car’s performance by analyzing the impact of tire size, windscreen size, axle length, and car slant. Using Minitab, factorial design, and statistical analysis, the project identifies the optimal configuration for maximizing travel distance.
Last synced: 20 Jan 2026
https://github.com/relostar-devil/recognition-of-objects-using-neural-networks
Ever wondered how machines learn to “see”? This project builds a convolutional neural network using TensorFlow and Keras to classify CIFAR-10 images—transforming raw pixels into predictions for airplanes, cars, birds, and more. How does it extract hidden features to distinguish these objects? Discover the magic of deep learning in action.
cifar-10 cnn detection-model inbuilt-dataset
Last synced: 16 Jul 2025
https://github.com/relostar-devil/bio-signal-analysis-for-smoking
Unlocking Insights into Smoking with Bio-Signals: Journey through health data to predict smoking habits. Employing machine learning and feature selection to identify smokers.
bagging-classifier feature-selection python
Last synced: 28 Apr 2026
https://github.com/relostar-devil/machine-learning-algorithms
Supervised and Unsupervised Machine Learning Algorithms.
agglomerative-clustering association-rule-mining decision-tree dendrogram kmeans-clustering linear-regression logistic-regression naive-bayes random-forest
Last synced: 06 Apr 2025
https://github.com/relostar-devil/customer-churn-prediction-using-keras
Using Artificial Neural Networks (ANN) with Keras and TensorFlow, this project predicts customer churn for a telecom company. It analyzes features like tenure, monthly charges, and payment methods, leveraging advanced preprocessing, feature engineering, and dropout layers to build accurate and efficient churn prediction models.
artificial-neural-networks keras-tensorflow
Last synced: 06 Apr 2025
https://github.com/relostar-devil/credit-score
Automates the classification of individuals into credit score brackets—Poor, Standard, or Good—using machine learning. This project processes financial data through advanced preprocessing, feature engineering, and models like Logistic Regression, Decision Trees, and Random Forests, achieving high accuracy for streamlined decision-making.
Last synced: 28 Apr 2026
https://github.com/relostar-devil/analytical-decision-modelling
Optimizing advertising performance and production planning using data-driven decision modeling and leveraging mathematical optimization (Gurobi) to improve ROI by effectively allocating ad spend and managing production costs.
Last synced: 06 Apr 2025
https://github.com/relostar-devil/flight-booking-price-prediction
Predicting flight ticket prices based on various factors, leveraging data preprocessing, feature selection, and Machine Learning models to provide accurate price predictions.
Last synced: 06 Apr 2025
https://github.com/relostar-devil/news-classification
Classifies news articles into categories like "News" and "Politics" using machine learning. The project processes fields such as title, text, subject, and date to uncover patterns in news content through various techniques which provides an efficient solution for organizing and analyzing large volumes of news data.
classification-model machine-learning natural-language-processing
Last synced: 23 Jul 2025
https://github.com/relostar-devil/sql
SQL case studies demonstrating the application of advanced SQL techniques to real-world data scenarios. Explore optimized queries, complex joins, window functions, and other advanced features.
Last synced: 20 Sep 2025
https://github.com/relostar-devil/bath-body-works-marketing-analytics-and-segmentation
Positioning and segmentation analysis of Bath & Body Works using perceptual mapping, consumer preference modeling, and market simulation techniques. Utilizes PCA-based perceptual maps, K-means clustering, and first-choice share of preference models via Enginius. Provides brand differentiation & market alignment.
brand-positioning-strategy competitor-analysis consumer-preference kmeans-segmentation market-share-modeling marketing-strategy perceptual-map-construction position-tracking principal-component-analysis-pca segmentation
Last synced: 11 Jan 2026
https://github.com/relostar-devil/handwritten-digit-classification
Builds a convolutional neural network (CNN) using TensorFlow and Keras to classify handwritten digits from the MNIST dataset. The model achieves high accuracy through data preprocessing, feature extraction, and training, demonstrating the power of deep learning for image recognition tasks.
cnn-architecture deep-learning mnist-handwriting-recognition neural-networks tensorflow-keras
Last synced: 21 Feb 2026
https://github.com/relostar-devil/analyzing-the-trends-of-covid-19-with-python
Understanding COVID-19 pandemic trends using Facebook Prophet by forecasting case numbers for the upcoming week, providing a predictive glimpse into the near future.
facebook-prophet pandas-python plotly
Last synced: 06 Apr 2025
https://github.com/relostar-devil/analyzing-naming-trends-using-python
Analyzes naming trends by processing baby names data from the Social Security Administration (SSA)
Last synced: 30 Apr 2026
https://github.com/relostar-devil/analysis-of-uber-operational-data
Addresses key challenges like revenue leakage, driver performance, and cancellation rates. Includes city-level performance optimization, fare discrepancy detection, and cancellation pattern analysis using SQL. Focuses on data cleaning, identifying key metrics, and implementing SQL-based solutions.
Last synced: 18 Jan 2026
https://github.com/relostar-devil/synergizing-success-improving-operational-efficiency-and-employee-engagement
SQL solutions addressing operational inefficiencies and employee engagement challenges in a multi-departmental business. Analyzes employee performance, product sales, supply chain, and tech adoption using a provided dataset to drive data-informed decisions. Includes advanced SQL techniques for optimization and analysis.
Last synced: 19 Jan 2026
https://github.com/relostar-devil/cis-509-analytics-unstructured-data-yelp-data-analysis
In Florida and Pennsylvania, Yelp reviews paint a vivid picture of dining experiences across American, Chinese, and Italian cuisines. Using sentiment analysis and topic modeling, we uncover key themes that shape customer satisfaction. From flavor and service to ambiance and value, one factor stands above all—food quality.
bertopic matplotlib nltk pandas python seaborn sentiment-analysis tokenization yelp-dataset
Last synced: 14 Apr 2026
https://github.com/relostar-devil/medication-switching-analysis-optimizing-drug-utilization
Excel-based evaluation of transitioning from medication A to B. Repo includes data, analysis, and findings related to a real-world pharmaceutical switch scenario.
Last synced: 05 Feb 2026
https://github.com/relostar-devil/predicting-heart-disease
Robust classification models for risk stratification. Employs Logistic Regression, Decision Trees, and Random Forests within a rigorous analytical framework to derive actionable insights for preventative healthcare.
decision-trees graphviz logistic-regression python random-forest
Last synced: 18 Apr 2026
https://github.com/relostar-devil/lean-six-sigma-process-optimization-gentech
Lean Six Sigma (LSS) case study aimed at improving the proposal creation process at Gentech, a multinational corporation. The study follows the DMAIC framework to identify inefficiencies, streamline workflows, and enhance overall efficiency.
Last synced: 26 Feb 2026
https://github.com/relostar-devil/tableau
Dynamic and interactive Tableau dashboards for data analysis, including financial forecasting, business performance tracking, and strategic insights
Last synced: 11 Feb 2026
https://github.com/relostar-devil/web-scraping-using-python
Wikipedia Web Scraper: Python script to extract and display Asian countries by area. Demonstrates web scraping techniques using Beautiful Soup and Pandas.
Last synced: 29 Apr 2026
https://github.com/relostar-devil/movie-recommendation
Based on Netflix Kaggle Competition, this model breaks down the user-movie rating matrix into latent factors that capture underlying patterns in user preferences and movie attributes allowing the model to predict missing ratings—essentially reconstructing the original matrix by approximating user preferences.
kaggle machine-learning netflix recommendation-system svd
Last synced: 06 May 2026
https://github.com/relostar-devil/census-income-prediction
An end-to-end ML project using 1994 US Census data to classify income (>50K/<50K). The Jupyter Notebook covers data preprocessing, EDA, and model evaluation with multiple classifiers.
matplotlib numpy pandas scikitlearn-machine-learning seaborn
Last synced: 10 May 2026