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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
Supervised Ridge classification. Machine learning algorithms applied to classification machine learning problems
A Machine Learning project for Machine Learning Internship offered by InternshipStudio.
Ridge Regression Implementation on housing excel csv Dataset
The objective of the project is to perform advance regression techniques to predict the house price in Boston.
Practicum Workshop
The Brain Entropy in space and time (BEst) plug-in in the Brainstorm software
LASSOPACK: Stata module for lasso, square-root lasso, elastic net, ridge, adaptive lasso estimation and cross-validation
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.
Python code to calculate properties of a Kelvin wave trapped at a ridge
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
Weighted Ridge Regression Based on Nonlinear Kernels
Matériel de cours d'introduction à la régression linéaire régularisée
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.
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
Using Machine Learning Regression Algorithms, Predicting the Energy Used by the Appliance.
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
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%).
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