Tag: Data science
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AutomatedMLPack: A Python Package for End-to-End Automated Machine Learning
AutomatedMLPack is a Python package designed for streamlined automated machine learning workflows, enabling efficient data ingestion, model training, and evaluation through a command-line interface. It supports classification and regression tasks, offers flexible feature selection, and provides visualizations and evaluation reports, significantly enhancing productivity in machine learning projects.
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Building Scalable ML Applications: A Practical Approach
The project involved developing a comprehensive machine learning pipeline for classification and regression tasks, culminating in a Flask-based web application deployed on Azure. It features automated deployment via GitHub Actions, ensuring a user-friendly interface for real-time predictions. Key achievements include a modular pipeline and seamless integration, enhancing accessibility in ML applications.
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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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