This repository contains the code related to machine learning knowledge. Each code has been provided from start to end with systematical vew of each concept that you will need in your journey of learning ML.

The ML project uses Linear Regression to predict the trip time of a bike rental for a new prediction system in new mobile application. The ML datasets have been collected and stored in a BigQuery public dataset

DATASCIENTST ML INTERVIEW PREP24

Repository for Big Si Bucks Intern AI-ML project: This GitHub repo hosts the code and data for analyzing customer behavior, generating insights, and creating personalized recommendations using AI and ML techniques.

This repository consist of machine learning models which can be use for predicting the future instance. More specifically this repository is a Machine Learning course for those who are interested in learning the basics of machine learning algorithms.

Welcome to my collection of data science projects!

Github repo for my in-progress book, "Visualizing Multivariate Data and Models in R"

An single page web application to manage files, using a bit of machine learning for my academic research

regLins is an R package designed for performing linear regression analysis using various optimization methods. It also provides an interactive Shiny application for a more dynamic analysis experience.

Compendium of free ML reading resources

Fast CPU and GPU Python implementations of Improved Kernel PLS by Dayal and MacGregor (1997) and Shortcutting Cross-Validation by Engstrøm (2024).

Population Prediction forecasts the Haggis population on a mountain. Ecologists have recorded the population over five years and have satellite estimates. The goal is to predict the true population 12 months ahead using machine learning and time series analysis techniques. This project is for the COM6509 - Machine Learning and Adaptive Intelligence

https://filippob.github.io/introduction_to_gwas/

This is GEM repo, as it has all the Hands-On ML notebooks

This project predicts bike demand for BoomBikes post-lockdown using multiple linear regression and feature selection on American market data, aiming to optimize business strategies for post-pandemic recovery.

Upgrad and IIITB Assignment - Linear Regression model for a US bike-sharing provider BoomBikes

Repo untuk contoh penggunaan model machine learning dengan front end sederhana

This repository contains all my works, my internships that I have worked on along with other additional projects that I did using R and Python.

This website provides a platform for users to predict their likelihood of developing diabetes based on various factors.