次元期权应征面试题范例。

This project aims to recreate some of the machine learning methods Nate Silver used in 2016, by using the actual election data and determining how accurate some of these methods were at predicting the final results. The methods we used were Principal Component Analysis, Hierarchical Clustering, Decision Trees, Logistic Regression and Lasso Regul…

sparse-group LASSO estimator code translated to matlab from R package "SGL"

The purpose of this paper is to analyze how and how much a film's attributes affect its rating, using several regression techniques.

Sports Analytics in Python

Introduction to Machine Learning & Deep Learning

Sports Analytics in R (Regularization and DecisionTree based approaches for Regression problems)

My personal repository for all of my work for the Battling the Curse of Dimensionality course at UU in the fall of 2021.

A simple regression analysis of house prices in USA with 11 features selected on MECE Framework

The project focuses on the Exploratory Data Analysis (EDA) of the given Performance dataset, which includes marks obtained by students in different subjects.

Implementation of classic machine learning concepts and algorithms from scratch and math behind their implementation.Written in Jupiter Notebook Python

Regression Analysis of Used Car Prices

My Data Science senior honors thesis involving Clash Royale

Comparison of car prices between Germany and Czech republic markets by conducting dependency analysis and linear model.

Final Project of Data Science for Business at Duke Fuqua (Oct 2022)

R Markdown Notebook- Data Analysis and Regression Models in R

A model comparison of Support Vector Machines and Random Forest Classifiers to predict the likelihood of an individual receiving the H1N1 vaccine. Utilizes LASSO Regression for feature reduction.

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.