GitHub

ShreehariA/IITM-MINT-Labs-Bus-ETA-Prediction

mint/ ├── README.md # This file ├── test.ipynb # Main development notebook │ ├── api/ # Production API │ ├── api_test.ipynb # API testing notebook │ ├── main.py # FastAPI server │ ├── predictor.py # ...
Frontiers

Machine learning models diagnose oral squamous cell carcinoma based on cross-cohort oral microbial signatures

The saliva microbiome of oral squamous cell carcinoma (OSCC) patients has been gradually unveiled, but there is a lack of cross-cohort studies, and there is no non-invasive diagnostic model across ...
GitHub

Stock Price Forecasting with ARIMA and XGBoost

invsto-stock-forecasting/ ├─ notebooks/ # Jupyter notebooks for EDA and analysis ├─ src/ # Source code modules │ ├─ data_download.py # Download stock data from Yahoo Finance │ ├─ data_cleaning.py # ...
marktechpost

An Intelligent Conversational Machine Learning Pipeline Integrating LangChain Agents and XGBoost for Automated Data Science Workflows

In this tutorial, we combine the analytical power of XGBoost with the conversational intelligence of LangChain. We build an end-to-end pipeline that can generate synthetic datasets, train an XGBoost ...