GPoFM: Gaussian Process Training with Optimized Feature Maps for Shift-Invariant Kernels
-
Updated
May 5, 2017 - Python
#
boston-housing
Here are 6 public repositories matching this topic...
-
Updated
Nov 6, 2018 - Python
Boston Housing Analysis: This repo presents an in-depth analysis of the Boston Housing dataset using Linear, Lasso, and Ridge Regression models. It explores data, preprocesses features, visualizes relationships, and evaluates model performance.
python
machine-learning
linear-regression
scikit-learn
data-visualization
data-analysis
feature-engineering
regression-models
boston-housing
lasso-regression
ridge-ression
housing-analysis
-
Updated
Apr 15, 2023 - Python
Repository for Assignment 1 for CS 725
-
Updated
Sep 17, 2017 - Python
Boston Housing Price prediction using regressions
python
machine-learning
tensorflow
keras
boston-housing-price-prediction
boston-housing
wandb
regression-metrics
-
Updated
Jul 22, 2022 - Python
This project uses Mini-learn on Boston's housing data-set. Mini-learn is a miniature version of tensor-flow which I made to play around with neural nets. See https://github.com/Satyaki0924/minilearn for more information.
-
Updated
Feb 28, 2017 - Python
Improve this page
Add a description, image, and links to the boston-housing topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with the boston-housing topic, visit your repo's landing page and select "manage topics."