Website sources for Applied Machine Learning for Tabular Data
Typescript library to access Faraday's API infrastructure for B2C predictions
This repository contains my AVETTI Commerce internship's reports and predicting accuracy of the models.
This project aims to predict the presence of heart disease based on various medical attributes of an individual. It utilizes a logistic regression model trained on a dataset containing information about patients and whether they have heart disease or not.
A Julia machine learning framework
Predictor for stock and ETF prices
gradient boosting classifier prediction model to predict one's employability and skill recommendation
Welcome to the Lotto 6 aus 49 Prediction Project! This repository contains predictive models and analyses for Lotto 6 aus 49, a popular lottery game in Germany. Through statistical analysis, machine learning models, and simulations, we aim to provide insights and predictions to help lottery enthusiasts make informed decisions. BE AWARE! FUN PROJECT
Analytics & Machine Learning R Sidekick
Forecasting the Adoption Process of Technology Using ML Methods
This repository focuses on predicting apartment prices and visualizing data related to apartment listings. It combines various datasets to create predictive models and an interactive visualization using D3.js
Predictive modeling project to investigate when NFL teams should go for it on 4th down
Surrogate Modeling Toolbox
Featrix Open Source
The International Development Association (IDA) credits are public and publicly guaranteed debt extended by the World Bank Group. IDA provides development credits, grants and guarantees to its recipient member countries to help meet their development needs.
This project aims to analyze and forecast daily revenue and the daily number of receipts across six distinct restaurants, by employing a statistical approach and utilizing predictive models, particularly the SARIMA and TBATS models.
Contains all necessary files for UWL Final Project UWLiD: 21500835
The code related to my M.Sc. Data Science thesis at the University of Helsinki.
Analysis of datasets relating to the Pacoursup platform.
Machine Learning in R
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