Ecosyste.ms: Awesome
An open API service indexing awesome lists of open source software.
Projects in Awesome Lists by aelluminate-hive
A curated list of projects in awesome lists by aelluminate-hive .
https://github.com/aelluminate-hive/mobile-user-behavior-analysis
This project analyzes mobile user behavior based on device data, usage patterns, and demographics. Data includes device models, OS, app usage, screen time, battery, data usage, age, gender, and user behavior classification.
data-science data-visualisation exploratory-data-analysis jupyter-notebook python3
Last synced: 05 Nov 2024
https://github.com/aelluminate-hive/global-cost-index-analysis
This analysis explores the cost of living across various countries, aiming to provide insights into economic disparities and living standards on a global scale. Utilizing a dataset that includes indices for overall cost of living, groceries, restaurant prices, and rent, we investigate the top and least expensive countries worldwide.
data-science data-visualization exploratory-data-analysis jupyter-notebook python3
Last synced: 05 Nov 2024
https://github.com/aelluminate-hive/gym-members-exercise-analysis
Analyze fitness dataset to uncover insights into exercise patterns, calorie consumption, body composition, and overall fitness levels. Explore correlations between workout type, frequency, and physiological markers. Use data analysis techniques to provide a comprehensive understanding of fitness behaviors and factors influencing exercise outcomes.
data-science data-visualization exploratory-data-analysis jupyter-notebook python3
Last synced: 05 Nov 2024
https://github.com/aelluminate-hive/breast-cancer-malignancy
SVM is used to classify human cell records and predict breast cancer malignancy. By training on a dataset of breast cancer features, the goal is to accurately differentiate benign and malignant cases. This research aims to contribute to early detection and diagnosis methods for breast cancer.
jupyter-notebook machine-learning python3 support-vector-machines
Last synced: 05 Nov 2024
https://github.com/aelluminate-hive/student-performance-analysis
This project analyzes student data to understand factors affecting final exam scores. Data includes study habits, extracurriculars, family background, school environment, and demographics. The goal is to identify key contributors to academic success.
data-science data-visualization exploratory-data-analysis jupyter-notebook python3
Last synced: 05 Nov 2024
https://github.com/aelluminate-hive/mushroom-classification
Binary classification model predicts mushroom edibility (poisonous vs. edible) using cleaned UCI dataset. Features include cap diameter, shape, gill attachment, color, etc. Goal: reliable model for mushroom identification.
classification jupyter-notebook knn-classification logistic-regression machine-learning python3 xgboost
Last synced: 05 Nov 2024
https://github.com/aelluminate-hive/ames-city-house-price-prediction
Leverages Ames Housing Price Dataset to create a predictive model for estimating home sale prices in Ames, Iowa. Analyzes property features to understand their impact on sale prices, providing valuable insights for buyers and sellers.
jupyter-notebook linear-regression machine-learning python3
Last synced: 05 Nov 2024
https://github.com/aelluminate-hive/ease-my-trip-flight-price-prediction
Leveraged Ease My Trip data, we're building predictive models to estimate flight prices. Factors like airline, class, booking lead time, and others will be analyzed to create a robust framework for understanding flight pricing dynamics.
gradient-boosting jupyter-notebook linear-regression machine-learning preprocessing python3 ridge-regression xgboost
Last synced: 05 Nov 2024