Python package for automated scraping, cleaning, and AI-driven classification of new drug approvals. Harness OpenAI's GPT-3.5 Turbo to transform complex data into actionable insights
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Updated
May 13, 2024 - Python
Python package for automated scraping, cleaning, and AI-driven classification of new drug approvals. Harness OpenAI's GPT-3.5 Turbo to transform complex data into actionable insights
Discover ROPAC, a novel rule-based classifier we proposed. Here, you'll find the code, data, and original paper detailing this groundbreaking data classification algorithm.
Belajar Geostats
Visual Knowledge Discovery tools for interactively visualizing, exploring, and identifying complex n-D data patterns in multivariate CSV data, to visualize machine learning classifier models.
Compute Natural Breaks in Python (Fisher-Jenks algorithm)
Desktop application helping with TPR/FPR calculations and visualize ROC curve based provided parameters.
This repository is a Virtual Internship contains impressive projects related to Machine Learning.
Data classification defines and categorizes data according to its type, sensitivity, and value
A toolset to test data classification engines that generates mock data in various file formats, sizes and data profiles.
Python Data Loss Prevention (DLP) SDK - Nightfall Developer Platform
4-Weeks Data Science Internship at Oasis Infobyte
BinGuru is an open-source Typescript package to bin/classify data using 18 established binning methods, including a new method, resiliency.
Resiliency is an ensemble binning method that considers how frequently a geographic entity (e.g., county) falls in a particular bin across multiple comparable data binning methods. This application helps users visualize and interact with the outputs of Resiliency on a variety of datasets.
Here You can get access to all my data analysis projects.
Cartography of Genomic Interactions Enables Deep Analysis of Single-Cell Expression Data (Nature Communications, 2023)
A tool for aggregating and crowd-sourcing the classification emergency call data
Mini research project in ML and sentiment analysis
Predicting MLB Hall of Fame status based on career statistics and accolades.
Building multi models to classify numerical data of Gamma, Hadron dataset
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