Found 23 repositories(showing 23)
PlotSenseAI
PlotSense is an AI-powered assistant that helps data professionals and analysts make smarter, faster, and more explainable data visualizations. Whether you're exploring a new dataset or building dashboards, PlotSense simplifies the process with Smart Visualization Suggestions, Natural Language Explanations and Seamless Integration
PlotSenseAI
No description available
PlotSenseAI
No description available
Havilah-Blockchain-Studios
No description available
ojumah20
PlotSense is an AI-powered Python package that automatically suggests the best visualizations for your data. It leverages machine learning to select the most effective chart types based on dataset characteristics, providing explainable insights.
OLAMILEKAN011
No description available
etylermoss
Records an output from lm_sensors (Temperature, RPM, Volts) into a file and/or the shell, with a configurable cycle duration & total duration. Intended for benchmarking CPU temperatures, Fan speed, and Voltages.
georgeadeife-dev
My first GitHub repo - preparing for PlotSenseAl Hackathon 2025 with PyTorch and data visualization.
raajshekhar19
No description available
collinsremi
No description available
elyada007
Functionality
oswinmenezes
No description available
byronxoxo5
Visualization
iamsuba
No description available
helloPhysics
Meet GraPhycs, a Physics graph plotter
kingsoduah
No description available
collinsremi
No description available
Sammydcode
This project uses a hybrid approach; combining rule-based logic and machine learning (Isolation Forest) to detect suspicious or potentially fraudulent credit card transactions. It analyzes transaction amount and speed to flag anomalies in real-time through an interactive Streamlit app integrated with PlotSenseAI for visual insights.
cardinal-ship-it
Medical insurance cost prediction, using linear regrassion
elyada007
SMART DATA CLEANER is an intending module for PlotSenseAI that can check for missing values, identify and remove duplicates, convert columns to appropriate data types, detect outliers, and return summary of actions taken on a dataset.
collinsremi
No description available
No description available
christianchimezie
No description available
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