Various analyzes of big data sets including machine learning, lasso/ridge regression and trees.
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Updated
Jun 13, 2022 - R
Various analyzes of big data sets including machine learning, lasso/ridge regression and trees.
Model Selection Using PCR, PLSR, Best subsets, Ridge Regression and Lasso Regression
Execução Scripts do Livro Mastering Machine Learning Packt
10-fold cross-validation simulation to identify optimal lambda for ridge regression on n=1000 observations of p=10000 Rademacher random variables.
Final Project for the Computational and Graphical Statistics class in Fall 2021
Implementation of different regression technique
R Data Mining and ML algo implementations(Learning Basics and notes)
Lasso + Bootstrap methods for predictive modeling
Baruch College STA9890 Spring 2020 Final Project.
The dataset that I am performing this regression analysis on, comes from Kaggle, titled crimes In India. This dataset holds complete information about various aspects of crimes that have taken place in India in a 17 year span, from 2001 to 2018.
TDDE01 - Machine Learning course at Linkoping University, Sweden
Machine Learning in Finance
Applied Least Square, Ridge and Lasso regression models to predict the number of comments a blog post will receive
Code and supplementary materials for the manuscript "Development and validation of a prediction model for failure of the transfemoral approach of endovascular treatment for large vessel occlusion acute ischemic stroke" (2023, Cerebrovascular Diseases))
The objective of the project is to create a machine learning model. We are doing a supervised learning and our aim is to do predictive analysis to predict housing price.
Data Science II Project 1 Group Ayush Kumar, Faisal Hossain, Brandon Amirouche
Development of a model to predict the amount that clients are willing to pay for a new car according to their social features.
Using R for regression in investment (Sungkyunkwan University through Coursera)
High Throughput Light Weight Regularized Regression Modeling for Molecular Data
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