Stochastic Gradient Trees implementation in Python
Advanced Statistics and Predictions API for My Final Project
Code written for MATH 444 projects Spring 2021
Stochastic Gradient Trees implementation in C++, Python
Python implementation of Decision Tree Regression and Random Forest Regression. Efficient algorithms for predictive modeling. Ideal for regression tasks in machine learning.
This project builds a state-of-the-art machine learning model for predicting real estate prices. It leverages advanced data preprocessing, feature engineering, and visualization techniques to optimize for accuracy and interpretability.
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