There are 0 repository under ridge topic.
Compute the likeliness of an image region to vessels or ridges
This is the final project for the course CSCI-GA-3033-018 Geometric Modeling at NYU
A Machine Learning project for Machine Learning Internship offered by InternshipStudio.
Supervised Ridge classification. Machine learning algorithms applied to classification machine learning problems
The objective of the project is to perform advance regression techniques to predict the house price in Boston.
Ridge Regression Implementation on housing excel csv Dataset
Practicum Workshop
Predict the vehicle price from the open source Auto data set using linear regression. In this data set, we have prices for 205 automobiles, along with other features such as fuel type, engine type,engine size,etc.
LASSOPACK: Stata module for lasso, square-root lasso, elastic net, ridge, adaptive lasso estimation and cross-validation
The Brain Entropy in space and time (BEst) plug-in in the Brainstorm software
I worked on this Live project while working as a Machine Learning Intern at Internship Studio that was offered by National Engineering Olympiad 5.0
OLS (twoway clustered standard errors), Imperfect Multicollinearity (Ridge and PCA), ARMA(p,q) with Bootstrap
Airline Fare Prediction using Regression
Stacking Classifier with parallel computing architecture based on Message Passing Interface.
Weighted Ridge Regression Based on Nonlinear Kernels
Python code to calculate properties of a Kelvin wave trapped at a ridge
A wrapper site for NNNBA
This repository contains machine learning projects. The code for each project is provided, and the explanations can be found in the ReadMe.md file of each project !
A Study of the Effect of YouTube Tech Channels on the Revenue of Newly Released Devices
Leverage machine learning techiques to predict Capital Bikesahre demand
A Project on prediction of Air Quality index from Data Collection, Data Pre-processing and applying Machine Learning Algorithms- Linear, Ridge and Lasso, Decision Tree, Random Forest, KNN, XGBoost...... AND applied TPOT just to see it work. *_*
A Streamlit based application for Price prediction and damage detection of secondhand cars
An interactive dashboard based on a Linear Regression model predicting demand for bike rentals in Washington, D.C.
Yandex Practicum Data Science project
application of machine learning to indoor localization of RF sources
An end-to-end Machine Learning project that predicts house prices for a real-estate company (Housing Prices Competition for Kaggle Learn Users - Top 1%).
Using Machine Learning Regression Algorithms, Predicting the Energy Used by the Appliance.
This repository serves as a platform to upload new code updates for my Master's Thesis (TFM), focused on the utilization of both supervised and unsupervised models on a dataset extracted from Spotify. It also includes a small fragment of my thesis. For more information, please contact me at:
House Price Prediction Using Machine Learning: A project using Linear Regression, Ridge Regression, Decision Tree, and Gradient Boosting models to predict property values based on key features. Includes EDA, data preprocessing, and performance comparison. **Skills:** Python, Machine Learning, Data Analysis, Regression Models, EDA