Predicting solubility (logS) using molecular descriptors 🤓🧪 Comparison of Linear Regression 📊 and Random Forest 🌲 models Learn, visualize, and explore how data-driven models work! 🚀📈
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Updated
Mar 31, 2026 - Jupyter Notebook
Predicting solubility (logS) using molecular descriptors 🤓🧪 Comparison of Linear Regression 📊 and Random Forest 🌲 models Learn, visualize, and explore how data-driven models work! 🚀📈
See me if you want to plot xy figure.
using numpy and pandas to analyze a synthetic loan dataset with python
A comparative study and implementation of three fundamental algorithms for solving the Convex Hull problem. This project evaluates the trade-offs between the O(n3) Brute Force approach, the O(nlogn) Graham Scan, and the divide-and-conquer QuickHull algorithm, featuring performance benchmarking and step-by-step visualization.
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