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Scrape Bangkok condominium listing from hipflat.com and compare ML performance
The purpose of this paper is to analyze how and how much a film's attributes affect its rating, using several regression techniques.
Data science Mini projects
Sports Analytics in Python
Implementation of classic machine learning concepts and algorithms from scratch and math behind their implementation.Written in Jupiter Notebook Python
Sports Analytics in R (Regularization and DecisionTree based approaches for Regression problems)
A MLR algorithm that analyzes diabetes data in African Americans to predict a diabetes diagnosis
R Markdown Notebook- Data Analysis and Regression Models in R
This repository contains the code and data necessary to reproduce the results presented in the paper "Ridge Regularization for Spatial Auto-regressive Models with Multicollinearity Issues" submitted to Advances in Statistical Analysis (AStA).
Price diamonds using regression and decision tree models
Penalized linear regression modeling in R and application to life expectancy data
Regression Analysis of Used Car Prices
Explore a collection of linear regression projects showcasing implementations and applications in Python. From simple linear regression to advanced techniques like ridge and polynomial regression, this repository offers hands-on examples with diverse datasets.
Machine Learning: Regression - University of Washington
Final Group Project for Advanced Data Science for Public Policy @ McCourt
Heavy Machinery Auction Prices Predictive Modeling
A data-based approach to analyse and compare prices and characteristics of Airbnbs listings in Montreal and Toronto and identify the key factors affecting their prices.
Implementation and solving in Python of the constrained ridge or Tikhonov-regularized regression model, which solves a constrained optimization problem. 📐
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