Ecosyste.ms: Awesome
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Projects in Awesome Lists by allanreda
A curated list of projects in awesome lists by allanreda .
https://github.com/allanreda/telco-customer-churn-predictor-app
A web-based machine learning application that predicts customer churn using a logistic regression model. Built with Scikit-Learn for model training, Gradio for the user interface, and deployed on Google Cloud App Engine. The app allows users to input customer data and receive predictions on churn risk to support business decision-making.
app-engine data-visualization deployment google-cloud gradio hyperparameter-tuning logistic-regression machine-learning numpy pandas scikit-learn
Last synced: 07 Nov 2024
https://github.com/allanreda/ga4-session-predictor-flask-app
Flask app that can predict future number of GA4 sessions, using the Prophet library.
data-visualization flask ga4-api matplotlib pandas prophet-library python time-series-forecasting
Last synced: 07 Nov 2024
https://github.com/allanreda/n-grams-analysis-for-internal-linking
N-grams analysis for identifying internal linking opportunities for SEO
internal-linking ngrams nlp python seo web-scraping
Last synced: 07 Nov 2024
https://github.com/allanreda/danish-sentiment-scoring-app
A Streamlit app with multiple features for sentiment analysis on Danish texts, using the Sentida library to provide sentiment scores. Analyze single texts, compare two texts, or visualize sentiment across sentences in longer texts.
Last synced: 19 Nov 2024
https://github.com/allanreda/automated-k-means-clustering-engine
An interactive K-Means clustering tool built with Flask and Scikit-Learn, supporting Excel file uploads, cluster analysis, and data export, deployed on Google Cloud Run via Docker with CI/CD integration.
cicd css data-visualization deployment docker flask google-cloud-run html javascript k-means-clustering machine-learning matplotlib numpy pandas python scikit-learn
Last synced: 18 Dec 2024