pchukwuemeka424 / storeLinks
☆13Updated 3 months ago
Alternatives and similar repositories for store
Users that are interested in store are comparing it to the libraries listed below
Sorting:
- Use the Elastic Stack to ingest and visualize logs. Apply machine learning for anomaly detection using unsupervised learning or Kibana al…☆17Updated 2 months ago
- Use Landsat imagery and spectral indices (e.g., SAVI, GNDVI) to detect oil spills across time. Implement unsupervised classification and …☆17Updated 2 months ago
- ☆13Updated 4 months ago
- ediPredict Nigeria is an innovative healthcare solution that uses advanced machine learning algorithms to identify possible diseases base…☆17Updated 2 months ago
- Scrape Twitter data using Tweepy, preprocess using NLTK or spaCy, and apply sentiment classification using a pretrained transformer (e.g.…☆12Updated 2 months ago
- Create a script that uses Nmap to scan IP ranges and parse results for vulnerabilities. Add reporting to CSV or HTML and email notificati…☆12Updated 2 months ago
- ☆18Updated last month
- pchukwuemeka424 / Utilizing-Machine-Learning-and-DSAS-to-Analyze-Historical-Trends-Forecast-Future-Shoreline-ChangeThe dynamic nature of forecasting shoreline changes in the Niger Delta over 50 years (1974–2024) by leveraging satellite imagery and mac…☆12Updated 4 months ago
- ☆13Updated 4 months ago
- ☆18Updated last month
- This Python-based project leverages machine learning to predict air quality levels using synthetic pollutant data, simulating real-world …☆12Updated 4 months ago
- Build a model that predicts AQI using historical and real-time pollution data.☆12Updated 2 months ago
- This Python-based project leverages machine learning to predict air quality levels using synthetic pollutant data, simulating real-world …☆7Updated 4 months ago
- This project uses an LSTM neural network to predict air quality (PM2.5) from synthetic time-series data. It includes data generation, nor…☆6Updated 3 months ago
- A GIS-based model that combines exposure, sensitivity, and adaptive capacity indicators.☆5Updated last month
- Analyze NDVI trends and use LSTM to predict drought onset in arid regions.☆5Updated last month
- ☆12Updated last month
- A web application that enables users to dictate notes via voice and save them locally. Use the Web Speech API and JavaScript localStorage…☆18Updated 2 months ago
- The use of advanced remote sensing technologies to measure atmospheric concentrations of gases like carbon dioxide (CO₂), methane (CH₄), …☆6Updated 9 months ago
- ☆6Updated 3 months ago
- ☆13Updated last year
- Develop a customizable portfolio with a markdown-powered CMS for blogs and projects. Includes SEO, dark mode toggle, and deployment on Ve…☆18Updated 2 months ago
- Use supervised classification methods (SVM/Random Forest) and Google Earth Engine (GEE) to classify land cover for a specific region (e.g…☆12Updated 2 months ago
- ☆13Updated 2 months ago
- Develop a frontend JavaScript tool that checks password complexity, entropy, and compliance with best practices. Use zxcvbn.js or a custo…☆12Updated 2 months ago
- Create a simulated ransomware that encrypts user files and displays a decryption notice (for learning and training only). Demonstrates en…☆17Updated 2 months ago
- Use ARIMA, SARIMA, and Facebook Prophet to forecast inflation trends and food price changes in Nigeria. Include seasonal decomposition, r…☆12Updated 2 months ago
- pchukwuemeka424 / Hybrid-Machine-Learning-Framework-for-Water-Quality-Assessment-and-Contamination-ClusteringHybrid Machine Learning Framework for Water Quality Assessment and Contamination Clustering in the Niger Delta☆12Updated 3 months ago
- A full-stack app to manage to-do lists with real-time sync and user authentication.☆12Updated 2 months ago
- ☆13Updated 4 months ago