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…

This repo is for linear models and linear mixed models using Python.

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

Linear regression to describe and predict medical costs

Exercises in applications of machine learning.

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

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

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

Code for predicting the severity of earthquake impact on buildings through various experiments, utilizing models like Logistic Regression, SVM, XGBoost, Neural Networks, and Random Classifier. It employs Grid Search and Randomized Search for optimal configuration and relies on feature correlations as primary predictors, adjustable with a threshold.

Linear models with Stan and Pandas

Kaggle Higgs Boson Machine Learning Challenge

A package with functions to blend machine learning models and GLMs

📖 Un complemento interactivo para entender y dominar la Estadística Aplicada: Estadística Básica, Aprendizaje Estadístico y Ciencia de Datos con R.