Tag: python
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Predicting Malaria Incidence from Climate Data Using Machine Learning
The project aimed to predict malaria incidence using climate and geographical data through machine learning, deploying a Streamlit web app for visualization across 98+ countries. With data from WHO and others, the CatBoost model achieved a 96.7% correlation. It provides easily accessible insights for researchers and policymakers, addressing malaria’s global health challenge.
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Dynamic Exploratory Data Analysis with Streamlit
The Dynamic Exploratory Data Analysis app simplifies EDA for users of all skill levels by allowing CSV uploads and generating insightful visualizations. Developed with Streamlit, it automates data type detection and offers various analysis modules. Key features include univariate, bivariate, and multivariate visualizations, making data exploration accessible and effective.
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BIOPRED: A Machine Learning-Based Web Application for Accurate Bioactivity Prediction, Drug Repurposing, and Molecular Docking
BIOPRED is a machine learning-driven web application developed for predicting drug-target interactions and supporting molecular docking. Utilizing ChEMBL data, it employs various algorithms for both regression and classification tasks with high accuracy. The user-friendly platform enables researchers to input SMILES strings and get bioactivity predictions, facilitating drug repurposing efforts.
Your Bioinformatics Developer 