Hamiltonian Monte Carlo for a linear forward model.

High dimensional linear regression with missing via adaptive SLOPE

Boston House Price Datasets short demo

A jewelry company wants to put in a bid to purchase a large set of diamonds, but is unsure how much it should bid. In this project, in this project I have used the results from a predictive model to make a recommendation on how much the jewelry company should bid for the diamonds. Every file and code for this project is found on my Github reposi…

Objective of the program is to classify, nearest earth object as hazardous or not.

Here you can explore different projects around Machine Learning Algorithms, Enjoy ☺️

Linear regression to describe and predict medical costs

Exercises in applications of machine learning.

Analysing data using linear models

This is my senior project for my data science degree at Belmont University where I will be looking at the effect of the MLB Pitch Clock on pitcher's performance.

Data on gun ownership and death/injury rates, plus associated R code

🎓 Tidy regression tools for academics

This repo is implementation of famous kaggle competition (House Price Prediction) using linear models.

Applying a linear model to predict the price of a car using its features

PaRtitiOned empirical Bayes Ecm (PROBE)

An ML model that classifies how much loan the user can take based on the user’s marital status, education, number of dependents, and employments.

Introduction to statistics in R