A web + mobile app (PWA) with Stripe integration for forecasting SaaS revenue
-
Updated
Dec 5, 2023 - TypeScript
#
revenue-forecast
Here are 9 public repositories matching this topic...
SaaS metrics in a nutshell
-
Updated
Aug 11, 2023
A model try to predict the revenue for hotels based on data in real life (real data)
-
Updated
Mar 21, 2023 - Jupyter Notebook
Analyzed 5,000+ movies with Pandas and Colab to build a machine learning model predicting movie revenue.
python machine-learning random-forest data-transformation pandas data-extraction feature-engineering feature-importance google-colab colab-notebook revenue-forecast standard-scaler model-evaluation-metrics model-evaluation-and-comparison
-
Updated
Dec 22, 2024 - Jupyter Notebook
Multi-task Deep Learning model for predicting key business performance indicators (KPIs) from tabular financial/accounting data.
finance machine-learning pytorch churn-prediction prediction-model pytorch-tutorial risk-scores pytorch-implmention finance-data revenue-prediction riskscore business-machine-learning revenue-forecast revenue-growth
-
Updated
Sep 21, 2025 - Python
Predict/Forecast monthly and daily charges, as well as payments associated with claims generated during the billing process
data-science sql time-series prediction sql-query rcm xgboost data-analysis data-modeling time-series-analysis xgboost-model data-analysis-python xgboost-regression revenue-forecast charges-prediction payment-prediction
-
Updated
May 15, 2024
The task focuses on predicting and forecasting monthly and daily charges for a healthcare provider to submit to insurance companies. This ensures accurate billing and streamlines operations. Leveraging analytics and historical data enables precise charge projections aligned with insurance policies.
python sql regression forecast datascience rcm predictions dataanalysis xg-boost revenue-forecast charges-prediction time-series-snalysis
-
Updated
Jan 6, 2025
Growth Revenue Model
data-mining roi exponentially-weighted-averages hvplot prophet-model revenue-forecast return-on-investment stock-price-patterns time-series-correlation stock-volatility time-series-model growth-analysis
-
Updated
Aug 7, 2024 - Jupyter Notebook
📈 A machine learning pipeline for SaaS revenue forecasting using time-series regression, Optuna hyperparameter tuning, and SHAP-based model explainability.
random-forest linear-regression ml xgboost support-vector-regressor shap optuna saas-analytics revenue-forecast
-
Updated
Jan 30, 2026 - Jupyter Notebook
Improve this page
Add a description, image, and links to the revenue-forecast topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with the revenue-forecast topic, visit your repo's landing page and select "manage topics."