Predicting the number of bikes for a rental company based on topographical data
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Updated
Sep 15, 2020 - Jupyter Notebook
Predicting the number of bikes for a rental company based on topographical data
The basic implementation of Simple Linear Regression using both Rython and R
Neural Networks and Deep Learning Models
Apply a plane rotation.
TaskForge UI is the frontend application for TaskForge, a real-time, collaborative project and task management platform inspired by Linear and Asana. Built with Next.js, this web client delivers an intuitive interface for managing Kanban workflows, task priorities, timelines, and more.
The standard linear program for optimization is implemented in Julia using JuMP.
Simple .NETv4 app that can be used to preview Flexmap calibration files
Linear regression is one of the easiest and most popular Machine Learning algorithms. It is a statistical method that is used for predictive analysis.
📌 Deep learning techniques applications in the domain of Transportation engineering were explored
This demo explains the way of rendering the pie chart in linear form in Xamarin
The goal of this project is to model the relationship between vehicle specifications and CO2 emissions using **Multiple Linear Regression**. We aim to predict `CO2EMISSIONS` from features like `ENGINESIZE`, `CYLINDERS`, and `FUELCONSUMPTION_COMB`.
A resource with a variety of usefool tools in learning maths, coding and many more
Income prediction using multiple linear regression
Trying our linear problmem solving in python (in progress)
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