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Predicting_real_estate_prices_using_scikit Learn ⭐ 59

Predicting Amsterdam house / real estate prices using Ordinary Least Squares-, XGBoost-, KNN-, Lasso-, Ridge-, Polynomial-, Random Forest-, and Neural Network MLP Regression (via scikit-learn)

Machine Learning Regression ⭐ 25

Built house price prediction model using linear regression and k nearest neighbors and used machine learning techniques like ridge, lasso, and gradient descent for optimization in Python

Implemented ADMM for solving convex optimization problems such as Lasso, Ridge regression

Models By Example ⭐ 19

By-hand code for models and algorithms. An update to the 'Miscellaneous-R-Code' repo.

Detection Estimation Learning ⭐ 8

Python notebooks for my graduate class on Detection, Estimation, and Learning. Intended for in-class demonstration. Notebooks illustrate a variety of concepts, from hypothesis testing to estimation to image denoising to Kalman filtering. Feel free to use or modify for your instruction or self-study.

Glmnet_py ⭐ 7

glmnet for python

Machine Learning Regression Models ⭐ 5

This repository contains only projects using regression analysis techniques. Examples include a comprehensive analysis of retail store expansion strategies using Lasso and Ridge regressions.

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